George W. Bush - State of the Union Address 2005 free essay sample

How to Become a Speech Language Pathologist

How to Become a Speech Language Pathologist Speech-language pathologists, also known as speech therapists, play a huge part in diagnosing, treating, and managing communication disorders (which include recovery from strokes, brain injuries, hearing loss, developmental disabilities, and autism). The speech-language pathologist career at a glance:The Day-to-DaySpeech-language pathologists can be found in a variety of medical and educational settings: hospitals, elementary and secondary schools, colleges and universities, health clinics, and private practice offices. They typically work a 9-to-5-type schedule in an office, seeing patients on an appointment basis. Speech-language may specialize in treating communication disorders in particular age groups, from children (including autism spectrum communication issues and developmental delays) to adults (including stroke recovery and degenerative diseases like Parkinson’s). This position also often includes research and study of speech disorders and treatment in addition to wo rking directly with patients.The RequirementsSpeech-language pathologists typically have a master’s degree in the field, plus licensing and clinical training. Licensing requirements vary by state, so be sure to check on your own state’s regulations for speech therapists.The SkillsSpeech-language pathologists require a number of special skills and knowledge bases, including:Healthcare management and administrationHuman communication processesProblem solvingCurrent medical technology and methodsPatient care and communicationHuman behavioral patternsThe PayPer the U.S. Bureau of Labor Statistics (BLS), the median salary of speech-language pathologists is $71,550.The OutlookThis area is a fast-growing area of Allied Health, with the BLS predicting robust 21% growth.Interested?  Apply Here

The Impact of September 11 Attacks on the US Foreign Policy Research Paper

The Impact of September 11 Attacks on the US Foreign Policy - Research Paper Example This paper is basically an effort to describe the very important political event of September 11 attacks in relation to the influence it exerted on America’s foreign policy and international relations. The paper also discusses myriad ways by which US had to transform its international relations and alter foreign policy decisions according to the theories of international politics. On the morning of September 11, four commercial US airlines were hijacked by some 19 hijackers who were believed to be associated with Al-Qaeda and two of those hijacked jets were intentionally flown into the North and South towers of the World Trade Center. The third plane got crashed into the ground due to the angry passengers’ involvement and the last plane was deliberately flown into the important building of Pentagon. As a result, thousands of people died and many got badly injured for life. Most of the people who died from the attacks happened to be innocent civilians and a minority belo nged to the military forces who ran to the attacked places to save the public. The impact zones where planes hit the North and South Towers made it virtually impossible for anyone above and below the impact zones to make an escape from the buildings, rather many hundreds of people got trapped in the poisonous fumes and dust and died of smoke inhalations after remaining entrapped for terribly long hours. However, the South Tower got attacked after the North Tower which is why significantly lesser casualties were reported in this tower as the military officials started evacuating the building immediately after the first tower got struck. US also changed economically a lot as the destruction of the towers cast serious and irreparable damage to the economy of the busy area of lower Manhattan as a result of which seriously bad and devastating influence was exerted in the global markets and ultimately it all culminated in global economic recession. US economic recession was also fomented to a large extent by the practice of investing many billions of dollars in the wars against Afghanistan and Iraq under Bush administration. Prior to attacks, the approach taken by Washington concerning the rest of the world was relatively unfocused and it became definitely very much focused after attacks. America really had no significant thoughts nor any decisions were made about other countries as the Cold War has already ended a decade earlier and also victory was bagged by US in the Cold War as the enemy in the form of Soviet Union got defeated which had earlier on managed to give a focus to Washington’s approach to the world. Post 9/11, this focus again shifted but this time the influence produced happened to be long-term and much more demanding, tiring, and exhausting for both US government and public than ever before. US took these attacks made on September 11 as a threat to not only US law, order and peace but a serious menace to global law and order which is why the important officials sat together and with agreement launched a very extensive War on Terror by first invading Afghanistan and later Iraq to combat against the Taliban belonging to Al-Qaeda and defeat them. Most of the Taliban resided in

Work shop activity .Words and Words formation Essay

Work shop activity .Words and Words formation - Essay Example For instance, some students find it tricky to retrieve single words especially nouns, adjectives, calendar dates, verbs and general numbers. For this reason, it is very difficult for them to respond comfortably to questions that require them to use facts in arguing their points out (Finch, 2000). This does not mean they lack information about the question but instead are not good at clearly distinguishing characters, places, numbers and other facts. In some cases commonly referred to as discourse retrieval contexts, students find it difficult to take part actively in discussions, which relate to some events or some experiences in life (Finegan et al, 1992). A lexeme is a language unit, which bears lexical meaning in that in whichever form they appear, they bear a common meaning. Lexeme derive its origin from language morphology because a lexeme word or phrase helps people understand a concept which links to that word even though they write and express it differently. Since a lexeme reduces a word, it makes it easy for people who have difficulties in word definition to get a basic meaning of such words. For instance, a word like water in simple terms is a noun. The same word can be a verb to mean the act of giving water to something for example plants. It makes it easy for a student to remember words and quickly fix them in their right context (Yule, 2010). Lexeme makes it easy for learners to understand and compare words. For instance, medical processing uses a series of scientific terms. Unless students are good at such terms, they cannot understand the medical products. The use of lexeme acts as a bridging factor since it reduces the differences of language representation (Schendi, 2003). Similarities that stem from perception have a hug role in learning especially during the early stages of language development in children because it enables them in grouping objects to a particular category thus supporting them in identifying the name

Cochlear Implants and the Culture of Deafness Essay

Cochlear Implants and the Culture of Deafness - Essay Example This paper will examine whether the introduction of the neonatal hearing screening program has changed how the deaf community thinks about cochlear implants and further highlights the role the deaf community and cochlear implants advocates. A social model of deafness is part of disability that is linked to arising from the disabled people themselves, friends, family members, associated political and social networks. One aspect that discourages the understanding of an impaired condition by the promoter of cochlear implants is lack of impression. The Deaf Community insists that arguments concerning the deaf be made from the perspective of the deaf party and not his parents or the society. There are individuals in the society who do not understand the use of cochlear implants on the hearing impaired. In this case, they tend to assume the use without exactly knowing what they are meant for. Such insinuations obvious in the society neglect the deaf person’s opinion. While the techn ology may be useful in trying to boost a person’s self-esteem it is only convenient as aiding device and not as a curative one. Children’s deafness persists on a bionic ear, while their hearing is still impaired. This defeats the relevance of the hearing aid. To assert further on needlessness of the bionic ear, cochlear implants cannot aid in improving a person’s cognitive or their language skills. Users of cochlear implants will, therefore, be still dependent on other persons who do not have hearing impairment issues in their day to day lives. The deaf persons will require translation and adaptive learning process in order to fit in the social structure of the hearing population. Deaf persons and other individuals with hearing ‘problems’ go-ahead to form their own structures of social interaction that enhances their own method of communication. Such groups may include those of persons with cochlear implants.

Risk-based Access Control Model for the Internet of Things

Risk-based Access Control Model for the Internet of Things Developing an adaptive Risk-based access control model for the Internet of Things Hany F. Atlam a, c Gary B. Wills a, Robert J. Walters a, Joshua Daniel c a Electronic and Computer Science Dept., University of Southampton, UK b Security Futures Practice, BT Research Innovation, Ipswich, UK c Computer Science and Engineering Dept., Faculty of Electronic Engineering, Menoufia University, Egypt Abstract The Internet of Things (IoT) is creating a revolution in the number of connected devices. Cisco reported that there were 25 billion IoT devices in 2015 and modest estimation that this number will almost double by 2020. Society has become dependent on these billions of devices, devices that are connected and communicating with each other all the time with information constantly share between users, services, and internet providers. The emergent IoT devices as a technology are creating a huge security rift between users and usability, sacrificing usability for security created a number of major issues. First, IoT devices are classified under Bring Your Own Device (BYOD) that blows any organization security boundary and make them a target for espionage or tracking. Second, the size of the data generated from IoT makes big data problems pale in comparison not to mention IoT devices need a real-time response. Third, is incorporating secure access and control for IoT devices ranging from edge nodes devices to application level (business intelligence reporting tools) is a challenge because it has to account for several hardware and application levels. Establishing a secure access control model between different IoT devices and services is a major milestone for the IoT. This is important because data leakage and unauthorized access to data have a high impact on our IoT devices. However, traditional access control mode ls with the static and rigid infrastructure cannot provide the required security for the IoT infrastructure. Therefore, this paper proposes a risk-based access control model for IoT technology that takes into account real-time data information request for IoT devices and gives dynamic feedback. The proposed model uses IoT environment features to estimate the security risk associated with each access request using user context, resource sensitivity, action severity and risk history as inputs for security risk estimation algorithm that is responsible for access decision. Then the proposed model uses smart contracts to provide adaptive features in which the user behavior is monitored to detect any abnormal actions from authorized users. Keywords Security, Internet of Things, Risk, access control, Adaptive, Context. The Internet of Things (IoT) is growing in different ways. The adoption rate of the IoT is at least five times faster than the adoption of electricity and telephony [1]. Moreover, it is becoming the backbone of the future of the Internet that encompasses various applications and devices. The IoT devices are interconnected using different communication technologies such as wireless, wired and mobile networks [2]. The concept of the IoT was first mentioned by Kevin Ashton in 1999 [3]. He has said, The Internet of Things has the potential to change the world, just as the Internet did. Maybe even more so. Later, the IoT was formally presented by the International Telecommunication Union (ITU) in 2005 [4]. The ITU defines the IoT as: a global infrastructure for the Information Society, enabling advanced services by interconnecting (physical and virtual) things based on, existing and evolving, interoperable information and communication technologies[5]. The IoT faces many challenges that stand as a barrier to the successful implementation of IoT applications. The security is considered the most difficult challenge that needs to be addressed. This challenge is more complicated due to the dynamic and heterogeneous nature of the IoT system [6], [7]. Authentication and access control models are the essential elements to address the security issue in the IoT. They can prevent unauthorized users from gaining access to system resources, prevent authorized users from accessing resources in an unauthorized manner and allow authorized users to access resources in an authorized manner [8], [9]. The main purpose of the access control is to reject unauthorized users and limit operations of authorized users using a certain device. In addition, it tries to prevent the activity that could cause a security breach [7]. A powerful access control model should satisfy security requirements of confidentiality, integrity, and availability [10]. Traditional access control approaches are static in nature as they depend on predefined policies that always give the same outcome regardless of the situation. They are context insensitive. Furthermore, they require a rigid authentication infrastructure [11], [12]. So they cannot provide for distributed and dynamic environment as the IoT systems [13]. Dynamic access control approaches are more appropriate to the IoT. This is because they are characterized by using not only the policies but also environment features that are estimated in real-time to determine access decisions. The dynamic features can include trust, risk, context, history and op erational need [14], [15]. This paper presents an adaptive risk-based access control model for the IoT. This model can dynamically estimate the security risk associated with each access request to make the access decision. It uses real-time user context attributes, resource sensitivity, action severity and risk history as inputs to estimate the security risk value of each access request. In addition, the user behavior is monitored to detect any abnormal misuse. This paper will start by discussing concepts of access control in the IoT in section II; Section III presents access control challenges in the IoT; Section IV introduces different access control models; Section V discusses the concept of risk-based access control model; Section VI presents the proposed model; Section VII illustrates the process flow of the proposed model; Section VIII presents the related works, and Section IX is the conclusion The IoT devices send and receive a variety of information about owners behavior. Therefore, it is important to protect not only the communication process between IoT devices but also authentication and access control of IoT devices [16]. The access control process works with many layers of the IoT reference model that is shown in figure 1. The control process flows from top to down. Therefore, the access control works with different data whether at storage, at motion, or at IoT device itself. Therefore, the access control is a big issue in the IoT that need addressing. Fig. 1. The IoT reference model [16] The main function of access control is to grant access rights only to authorized users. Also, it prevents authorized users from accessing system resources in an unauthorized manner [7]. A powerful access control model should fulfill security demands of confidentiality, integrity, and availability [10]. In the IoT, the access control is required to ensure that only authorized users can update device software, access sensor data or command the actuators to perform an operation [17]. There are three ways to implement access control in the IoT systems; centralized, centralized and contextual, and distributed [18]. In the centralized approach, the access control logic is implemented at a central entity. This entity could be a server with direct communication to IoT devices that it manages or another entity in a different location. Therefore, IoT devices send their data to the central entity that is responsible for making access control decisions [18]. In the centralized and contextual approach, IoT devices are not completely passive entities; this is because they participate in the access control decisions. The access control logic is implemented at a central entity as in centralized approach, but the contextual features from IoT devices are sent to the central entity. These features are used to make access decisions [18]. In the distributed approach, all the access control logic is embedded into IoT devices. These devices are being provided with necessary resources to process and send information to other services and devices. Therefore, IoT devices have to have the ability to perform the authorization process without the need for a central entity [18]. Due to the distributed and dynamic nature of the IoT, there are many challenges that should be addressed when implementing an access control model. These requirements include; Interoperability with multiple users: Access control policies should be designed to support multiple organizations. For instance, each organization creates its own policies and respect other collaborating organizations policies [24]. Dynamic interaction: Access control policies should be predictable and specified in a dynamic and continuous way by considering context changing during the access control process [25]. Context awareness: The context is considered one of the core features since it enables intelligent interactions between users and IoT devices. Using the context will make access decisions dynamically determined based on surrounding environment features [17]. Usability: The access control model should be easily administrated, expressed and modified. It also should provide suitable easy to use interfaces for both consumers and devices needs [26]. Limited resources: The resources associated with IoT devices such as energy, memory, and processing power are limited due to devices lightweight. Therefore, the access control model designed for the loT should support efficient solutions [17]. Scalability: The IoT connects billions of devices. The access control model should be extensible in size, structure, and number of devices [17]. Delegation of authority: In many IoT scenarios, there are many devices that are operating on behalf of a user and other scenarios where a device may operate on a third partys behalf for a specific period of time. The access control model should implement delegation of authority to provide more usability and flexibility to the IoT system [24]. Auditability: Any and every access control needs to be auditable. Hence, collection and storage of evidence necessary for context awareness. This becomes a challenge when utilizing a distributed approach [17]. To ensure confidentiality and integrity of system resources, the access control is used to guarantee that only authorized users granted the appropriate access permissions. There are several access control models which can be divided into two classes; traditional and dynamic access control models [19]. Traditional access control approaches are based on policies that are static and rigid in nature. These policies are predefined and always give the same outcome regardless of the situation. Therefore, this static approach fails to adapt to varied and changing conditions during making access decisions [20]. There are three main traditional access control models; Discretionary Access Control (DAC), Mandatory Access Control (MAC) and Role-based Access Control (RBAC). DAC model was designed for multi-user databases and systems with a few previously known users. All the system resources are under full control from the user. DAC grants access depending on the user identity and authorization, which is defined for open policies. The owner of the resource can grant the access to any user [19]. While MAC model is concerned with confidentiality and integrity of information, so it mainly used in military and government applications. In MAC, the security policy is controlled by a security policy administrator and the user does not have the capability to override it [19]. RBAC model is consists of three elements: users (subjects requesting access), roles (collection of permission) and operations (actions on target resource). Access permissions are related to roles and the appropriate role is granted to the user. A single user can be associated with one or more roles, and a single role can include one or more user. RBAC provides a classification of users bas ed on their roles [21]. Dynamic access control models are characterized by using not only the access policies but also dynamic contextual features which are estimated in real-time at the time of the request [22]. These real-time features can include trust, risk, context, history and operational need [23], [14]. In this paper, we propose a risk-based access control model that uses the security risk as the main criterion for making the access permissions. The risk can be defined as the possibility of loss or injury. Generally, the risk is about some event that may occur in the future and cause losses. One such risk is the leakage of sensitive information by users. The access control is one of the approaches used to mitigate against the security risk [27]. Risk-based access control model permits or denies access requests dynamically based on the estimated risk of each access request [20]. This model performs a risk analysis on each user access request to make the access decision [7]. Mathematically, the most common formula to represent the risk in quantitative terms is: (1) Where likelihood represents the probability of an incident to happen while impact represents the estimation of the value of the damage regarding that incident [20]. Quantified risk-based access control models are divided into two types: non-adaptive and adaptive. The fundamental distinction between adaptive and non-adaptive approaches is that the adaptive model requires a system monitoring process and the risk estimation module adaptively adjusts user permissions based on the users activities during access sessions. While non-adaptive approach only calculates the risk during each session creation and does not have run-time monitoring and abnormality detection capability [11]. Dynamic access control approaches use real-time environment features to make the access decision. One of these features is the security risk associated with the access request, which will be used in our proposed model to make the access decision. The proposed model is shown in figure 2. The proposed model has four inputs: user/agent context, resource sensitivity, action severity and risk history. These inputs/risk factors are used to estimate the security risk value associated with each access request. The final risk value is then compared with risk policies to make the access decision. To make the model adaptive, the user behavior is monitored to detect any abnormal actions from authorized users. This model can provide an appropriate security level while ensuring flexibility and scalability to the IoT system. Fig. 2. The proposed adaptive risk-based access control model As shown in figure 2, the user/agent context represents the environmental features that are embedded with the user/agent at the time of making the access request. These contexts are used to determine the security risk value associated with the user requesting the access to the system. Location and time are the most common user contexts [28]. Resource sensitivity represents how valuable the resource/data is to the owner or to the service provider. Data is assigned a level of sensitivity based on who should have access to it and how much damage would be done if it were disclosed. A risk metric is assigned to each resource in the IoT system depending on how valuable the resource data is to the owner. For instance, the higher the data sensitivity, the higher the risk metric associated with the resource. Action severity represents the consequences of a certain action on a particular resource in terms of security requirements of confidentiality, integrity, and availability. Different opera tions have different impacts and so have different risk values. For instance, the risk of a view operation is lower than the risk of a delete operation. The user risk history is used to estimate the risk value of each access request. This is because the risk history reflects previous users behavior patterns. Moreover, it is used to identify good and bad authorized users and predict the user future behavior. Risk estimation module is responsible for taking the input features to quantify the risk value that is associated with the access request. The ultimate goal is to develop an efficient risk estimation process. The access decision determines whether access is granted or denied according to the risk policies. Risk policies or access control policies are mainly used by the risk estimation module to make the access decisions. These policies are created by the resource owner to identify terms and conditions of granting or denying the access. The overall risk value is examined with the risk policies to determine the access decision. The proposed model is trying to improve the flexibility of access control by monitoring the user behavior during the access session. In current access control models, if the decision is to grant access to the user, then there is no way to prevent any abnormal and unusual data access from the authorized user. So a monitoring module is needed to adaptively adjust the risk value based on the user behavior during the access session. Applying smart contracts to accomplish this process is a big challenge especially it will be the first time to use the smart contracts in this context. Smart contracts are treated as a software code that runs on a blockchain [29]. It can force a functional implementation of particular demands and can confirm that certain conditions or terms were met or not [30]. Hence, the monitored user behavior information will be compared with the smart contract to ensure that the user acts according to the terms of the smart contract so as to prevent any potential securit y breach during the access sessions. The process flow of the proposed model is shown in figure 3. The flow starts when the access control manager receives an access request from a user. After that, the access control manager asks for the system contexts (user/agent, resource, and action) of the requested user in addition to the user risk history. The risk estimation module uses these contexts with the risk history to estimate the overall access risk value related to the requested user, then the estimated risk value is compared with risk policies to determine the access decision. At this point, we have two decisions: a) If the access is granted, then the monitoring module will track the user behavior. The smart contract will use the monitored data to determine if the user follows the contract terms or not. If yes, then it will keep monitoring the user behavior, while if not, then it will return to the risk estimation module to reduce user permissions or terminate the access session to stop any security breach. b) If the access is denied, then the system asks the user to provide additional proof of identification so as not to block an authorized user and reduce the false-positive rate. If the user provides the required identification, then the access is granted and the flow continues as in the first decision, while if not, the system denies the access. Fig. 3. The process flow of the adaptive risk-based access control model This section provides a brief summary of the models that are related to the proposed model. A number of studies have been conducted the security risk for dynamic access control models. The JASON report [31] proposed three main elements for a risk-based access control model: estimating the risk value associated with each access request, identifying acceptance levels of risk in a certain domain, and controlling information sharing based on the estimated risk and access control policies. Risk Adaptable Access Control (RAdAC) model has been proposed by McGraw [32]. It is based on estimating the security risk and operational needs to grant or deny the access. This model estimates the risk associated with each access request then compares it with the access control policy. After that, the system verifies the operational needs; if the associated operational needs and the policy are met then access is granted. However, the author did not provide details about how to quantitatively estimate risk and operational needs. Also, Kandala et al. [33] have provided an approach that identifies different risk components of the RAdAC model using attribute-based access control approach. A dynamic and flexible risk-based access control model has been proposed by Diep et al. [12]. This model uses the risk assessment to estimate the risk value depending on outcomes of actions in term of availability, confidentiality, and integrity. However, this model did not provide a standard about how to evaluate the risk value for each state of the environment and for each outcome of action, did not use user context, and lacked risk adaptive features. A framework proposed by Khambhammettu et al. [34] that based on estimating object sensitivity, subject trustworthiness, and the difference between object sensitivity and subject trustworthiness using a risk assessment. However, the model did not provide how to estimate the risk value for each situation of the environment. Besides, the model requires a system administrator to give a reasonable value for each input feature in the early state of the risk assessment process and lacked risk adaptive features. A fuzzy Multi-Level Security (MLS) access control model has been proposed to manage risk information flows based on estimating its operational needs, risk possibility and environment features [20]. It estimates the risk based on the difference between subject security level and object security level. Similarly, Ni, Bertino, Lobo [35] have proposed a risk-based access control model that based on fuzzy inferences. It showed that fuzzy inference is a good approach for estimating access security risks. However, both models ignored the past behavior of users in the risk estimation process, lacked risk adaptive features and time overhead of fuzzy inference system is high. A fuzzy-based risk access control model has been proposed by J. Li, Bai, Zaman [27] to estimate the risk of healthcare information access. A risk metric is associated with data sensitivity, action severity, and risk history as a fuzzy value to determine the appropriate control of healthcare information access in a cloud computing. However, this model did not provide how to quantitatively estimate the risk. Also, no clear risk boundaries are defined and lacked risk adaptive features. A dynamic risk-based decision method has been proposed by Shaikh et al. [14]. This method is based on using the past behavior to identify good and bad authorized users. It depends on granting reward and penalty points to users after the completion of transactions. However, the past user behavior (reward/penalty) values are not enough to decide the access decision. Besides, no risk prediction technique is used and lacked risk adaptive features. A risk analysis approach has been proposed by Rajbhandari Snekkenes [36] to provide access decisions dynamically. This approach is based on preferences or values of benefit which subjects can provide rather than subjective probability using the game theory. A simple privacy scenario between a user and an online bookstore is introduced to provide an initial perception of the concept. However, using only benefits of the subject to determine the access decision is not enough to develop a flexible and scalable access control model. Also, it lacked risk adaptive features. A task-based access control model has been proposed by Sharma et al. [37] to estimate the risk value using functions that based on the action a user wants to perform. The risk value is computed in terms of different actions and corresponding outcomes. The outcomes and the risk probability are determined along with the level of data sensitivity. The previous users behavior patterns are then used to estimate the overall risk value. The estimated risk value is compared with the risk threshold to determine the access decision. However, it lacked risk adaptive features. A contextual risk-based access control model has been proposed by Lee et al. [13]. The model gathers all useful information from the environment and evaluates them from the security perspective. Risk assessment with multifactor evaluation process (MFEP) technique is applied to estimate the associated risk value. The risk value is based on outcomes of actions in term of availability, confidentiality, and integrity. This model is evaluated to manage the access control in a hospital. However, this model ignored the past user behavior and risk adaptive features as well. A risk-based access control model has been proposed by Dos Santos et al. [7]. This model employed the notion of quantifying risk metrics and aggregating them. It is based on the idea of risk policies, which allow service providers and resource owners to define their own metrics, allowing greater flexibility to the access control system. However, this model requires a system administrator to ensure the minimum security is achieved. Table 1 provides a summary of the related risk-based access control models. It contains the risk estimation technique used to estimate the risk value in each model, risk factors used to estimate the risk value and the limitations of each model regarding our proposed model. In summary, one can say that the problem of the access control, especially in the IoT, needs more investigation. Current access control models concentrate only on providing access decisions without providing any way to prevent any abnormal and unusual data access from authorized users, whereas our approach is based on providing the access decision and monitoring the user behavior to detect any abnormal actions. The novelty of our approach is based on providing the adaptive features and requesting user context attributes to the risk-based access control in the IoT system. To the best of my knowledge, using smart contracts to monitor the user access behavior will be the first try. Table 1. Some of the risk-based access control models Previous work Risk Estimation method Risk factors Limitations [20] Fuzzy MLS Model Difference between subject security level and object security level The user past behavior has not been used to detect user future behavior and lacked adaptive features. [27] Fuzzy Model Data sensitivity, action severity, and user risk history No clear risk boundaries are defined and lacked adaptive features. [35] Fuzzy Inference Object security level and subject security level Time overhead of fuzzy inference is high and lacked adaptive features. [34] Risk Assessment Object sensitivity, subject trust and difference between them User risk history has not been used and lacked adaptive features. [14] Risk Assessment History of reward and penalty points Limited risk factors, no risk prediction technique is used and lacked adaptive features. [36] Game Theory Access benefits of the subject Limited risk factors and lacked adaptive features. [37] Mathematics Functions Data Sensitivity, action severity, and risk history No risk prediction technique has not been used, lacked adaptive features and user context. [13] Risk Assessment Outcomes of actions Limited risk factors, lacked adaptive features and user context. [12] Risk Assessment Outcomes of actions Limited risk factors, no risk prediction technique has been used, lacked adaptive features and user context. [7] Mathematics Functions Risk policies Limited risk factors and lacked adaptive features. The IoT has become a widely examined subject that takes the attention of many researchers, specialists, and experts. Due to the dynamic nature of the IoT, traditional access control approaches cannot provide required security levels as they are based on a static and complex authentication infrastructure. Therefore, the scope of this paper is to develop a dynamic and adaptive risk-based access control model for the IoT. This model can adapt to IoT changing conditions. The proposed model can be realized by estimating the security risk using IoT real-time features at the time of the access request to make the access decision. The model uses user context, resource sensitivity, action severity and risk history as inputs to estimate the overall risk value associated with each access request. The model provides adaptive features to monitor user behavior and prevents any misuses from authorized users using smart contracts. The above work is still in the first stage. In future work, choosing the most appropriate risk estimation technique for a specific IoT context is our highest priority to proceed to implement the model as well as creating different IoT access control case studies with data to evaluate the model. Acknowledgment We acknowledge Egyptian cultural affairs and mission sector and Menoufia University for their scholarship to Hany Atlam that allows the research to be undertaken. References [1]S. Li, L. Da Xu, and S. Zhao, The internet of things: a survey, Inf. Syst. Front., vol. 17, no. 2, pp. 243-259, 2015. [2]M. Elkhodr, S. Shahrestani, and H. Cheung, The Internet of Things: Vision challenges, IEEE 2013 Tencon Spring, TENCONSpring 2013 Conf. Proc., pp. 218-222, 2013. [3]K. Ashton, That Internet of Things Thing, RFID J., p. 4986, 2

Ogden Nash: An Amazing Poet Essay -- essays research papers

  Ã‚  Ã‚  Ã‚  Ã‚  Ogden Nash was a poet that used nonsensical and humorous verse to draw people into reading his poems. Then, he would slip in insightful poems that speak a lot about life. His light verse even earned him a place on a postage stamp. His poems contain uneven lines that all rhyme, and he even made up spellings to words to achieve the best effect.   Ã‚  Ã‚  Ã‚  Ã‚  Frederick Ogden Nash was born August 19, 1902, in New York. His family thought that education was very important, and this was the basis for his love of languages and writing. At the age of seven, he got an eye infection, so he had to stay in a darkened room for almost a year. During this time, his mother schooled him, and this helped him develop his incredible memory. By the tender age of 10, he was already writing the humorous poetry that he became famous for.   Ã‚  Ã‚  Ã‚  Ã‚  He went to Harvard briefly, but his family didn’t have much money, so he had to quit and get a job. His first job was as a high school teacher, then as a bond salesman, then as an advertising copy-writer, then as an editor, and finally as a writer for the â€Å"New Yorker.† He published many of his poems in books, but he also made sure to do lecturing, even though he hated it. The lecturing ensured that he would make enough money to support his family. He died May 19, 1971, in Baltimore, Maryland. His tombstone says that he was a master of light verse. Archibald MacLeish contests that, saying that his poetry is so much more than that. Sure, some of his poems are lig...

Albert Bandura’s Social Cognitive Theory

Albert Bandura’s Social Cognitive theory is highly important in understanding the processes and elements that influence human learning. One perspective of Bandura’s theory is the innate capacity of human beings to be agents of change and human processes. With this in mind, Bandura presented some human internal and external factors that influence the process of being an agent of change. Social Cognitive theory, under the agentic perspective, relies on human intentions as a means to establish one’s connection to social structures based on three modes of agency: direct personal agency, proxy agency, and collective agency. These three modes of agency acknowledge the role of interdependence on how human beings will be able to manage human learning and processes that constitute life. Human agency necessitates the willingness and intentions of human beings to accomplish things through highly motivated thinking and actions. The results of an individuals’ thinking and actions under the perspective of human agency will assist individuals to undergo self-development and reconstruction in order for them to adapt to various life concerns. According to Bandura, human agency constitutes various core features: intentionality, forethought, self-reactiveness, and self-reflectiveness. Intentionality requires the willingness of human beings to do something in order to achieve desired results. Social functions give birth to desirable, mutual, and advantageous relationships if individuals are willing enough to become part of it. Collaborative activities, for instance, work out well if individuals take into account the desirable outcomes that might come out of it. Forethought complements intentionality, as it is concerned with looking and planning ahead. Bandura suggested that if forethoughts are motivating and desirable enough for individuals, then it will wield the intention of doing things that will eventually lead to its realization. For instance, an individual works with another for a cause but perceives that the relationship will be hostile and unproductive. His non-motivating view will not contribute to intentionality to invest time and effort to nurture the relationship. To continue, self-reactiveness talks about being able to motivate, but at the same time regulate oneself in terms of thinking and taking action. On the other hand, self-reflectiveness is established on the concept of introspection where one is able to evaluate actions and behaviors and determine how to fortify or change them. Aside from the core features of human agency, the three modes of agency influence the process of social cognition. Direct personal agency looks into the unswerving involvement of the individual to arrive at desired results. Intentionality, forethought, and self-reactiveness come into play to motivate individuals to influence the social structure. However, when individuals are unable to control it, they rely on proxy agency. The proxy agency constitutes other individuals or means to achieve the desired result, as the individual’s inability to influence the birth of the outcome is unperceived. Moreover, when direct personal agency and proxy agency do not seem to accomplish desired results within social structures, the collective agency gives off its value. The collective agency looks into the combined efforts to achieve goals and objectives. The collective agency relies on group functioning to harbor desired results. The nature of social structures is highly dependent on how individuals are able to perceive and establish it. At some points, social structures are reliant on the intentions, perceptions, and motivations of individuals to commit to actions and behaviors that will influence how these social structures will be shaped. Aside from the internal influences that might bear weight on the nature of social structures, modes of agencies will also affect how the process will be accomplished. Establishing social structures, under the three modes of agency, will depend on the direct influence of an individual, the dominance of other individuals and means to accomplish results, and the efficiency of group functioning to realize social structural goals and objectives.

Chinas Crisis essays

China's Crisis essays According to Keith Schoppa, China was everything under Heaven (tianxia), by definition self-sufficient, and therefore needing nothing from outside (Schoppa 46). In order to maintain this self-sufficiency, the emperors of China established certain illustrations that depicted how a community should preserve their peaceful ways. The Kangxi and Yongzheng emperors considered Confucianism as their true religion and looked down upon other religions, such as Buddhism, which they called heretical. In the eyes of the Kangxi and Yongzheng emperor, to be perfectly loyal to the Ruler and to fulfill filial duty to the utmost is the whole duty of man and the means of obtaining the blessing of heaven... but simply mind your own business... if none of you believe in heretical sects, they will not have to wait to be driven out but will become extinct naturally (Cheng and Lestz 68). Their idea was to keep to yourself, and life will go accordingly and smoothly. Even for such a perfect society, pro blems can erupt. Because Chinas emperors relied on their Confucian ways of stability, gradual changes that mostly dealt with religion in society critically affected the Qing Dynastys future. As with any other country, change is inevitable. In Qian Yongs article on popular religion (Cheng and Lestz 128-131), his notes illustrated the, scorn felt by the literati for folk religion and heterodox festivals... and the impulse felt by the elite to rein in the wild and unrestrained behavior of untutored peasants, villagers, and city dwellers. To the elite, the practice of folk religion such as the gathering had the possibility of disrupting many aspects of the society such as causing fires, fights, gambling, and overall damaging social customs. Those who lived this way were not abiding by Confucius ways, and was thus an unfamiliar way of life. ...

Free Essays on Differences In Gender Communication

All of us have different styles of communicating with other people. Our style depends on a lot of things: where we’re from, how and where we were brought up, our educational background, our age, and it also can depend on our gender. Generally speaking, men and women talk differently even though there are varying degrees of masculine and feminine speech characteristics in each of us. In association with their own genders, men and women, tend to speak in ways that reflect common characteristics of their own sex. In the workplace today, as it has always been, communication has remained a key ingredient to running and maintaining a successful organization. However, with the changing times since women have become able to complete tasks at the same level and efficiency of men, controversy has arisen, and now more than even it is imperative that communication remain a solid foundation and characteristic of both genders. Differences in communication are the results of many varying factors. The two genders have dissimilar goals and attitudes when communicating. Women on one hand want to achieve status, and avoid failure. In order to do so they pursue them in a semblance of connection. Men, on the other hand want to achieve involvement and avoid isolation, and pursue them in an appearance of opposition. Two disparate lenses are created from the differing perceptions of the male and female. One the connection lens and the other the status lens. Women are the connection lens because they tend to look for similarities to achieve connection, and equality. The males in opposition portray the status lens because it is they who look for differences to achieve status. From childhood on, boys and men try to â€Å"one up† each other. Their actions can lead to stronger personalities. Those who like to give orders and be leaders achieve the higher status, and the weaker personalities are those who accept the orders, are subordinate, and therefore receiv... Free Essays on Differences In Gender Communication Free Essays on Differences In Gender Communication All of us have different styles of communicating with other people. Our style depends on a lot of things: where we’re from, how and where we were brought up, our educational background, our age, and it also can depend on our gender. Generally speaking, men and women talk differently even though there are varying degrees of masculine and feminine speech characteristics in each of us. In association with their own genders, men and women, tend to speak in ways that reflect common characteristics of their own sex. In the workplace today, as it has always been, communication has remained a key ingredient to running and maintaining a successful organization. However, with the changing times since women have become able to complete tasks at the same level and efficiency of men, controversy has arisen, and now more than even it is imperative that communication remain a solid foundation and characteristic of both genders. Differences in communication are the results of many varying factors. The two genders have dissimilar goals and attitudes when communicating. Women on one hand want to achieve status, and avoid failure. In order to do so they pursue them in a semblance of connection. Men, on the other hand want to achieve involvement and avoid isolation, and pursue them in an appearance of opposition. Two disparate lenses are created from the differing perceptions of the male and female. One the connection lens and the other the status lens. Women are the connection lens because they tend to look for similarities to achieve connection, and equality. The males in opposition portray the status lens because it is they who look for differences to achieve status. From childhood on, boys and men try to â€Å"one up† each other. Their actions can lead to stronger personalities. Those who like to give orders and be leaders achieve the higher status, and the weaker personalities are those who accept the orders, are subordinate, and therefore receiv...

Death Penalty and Life Imprisonment Essay Example | Topics and Well Written Essays - 1250 words

Death Penalty and Life Imprisonment - Essay Example However, it is disputed because of mistakes made in sentencing that are claimed to be rare. The death sentence is given when there exists conclusive evidence on the guilt of a suspect (Smith). The evidence is usually in the form of DNA, and a plus for the death row inmates is that there is a chance to appeal the decisions to sentence them to death. Therefore, it is argued that any person convicted to death stands a chance to prove their case and plead their innocence allowing them to live. In this case, the claim is that it is extremely difficult to sentence an innocent person to death owing to the numerous appeal opportunities accorded to them. In addition, the presence of DNA testing helps to exonerate many, although not entirely. Therefore, the DNA of the convicted may lead to conviction of many due to wrong time and wrong place occurrences, circumstantial evidence. Thus, the Death sentence is appropriate in ridding the society of people committing capital offences, in spite of do ing injustice to some. However, life in prison as a sentence is the viable option as compared to the death sentence as delivers more and reduces the chances of exposing innocent people to risk of dying (procon.org). This is because; life in prison is swift, severe and certain providing justice to the victims of the committed crime. In addition, another reason for the support of death penalty is the cost that the society has to bear concerning maintaining prisoners on life imprisonment (Smith). Therefore, the financial and economic costs of maintaining a prisoner serving life are astronomical to the tune of $50000 a year (Smith). This is more than an individual spends in their normal day-to-day life outside the prison as some earn even less than that. Sentencing such a person to death is easier for the society, as it does not have to shoulder the costs of providing for the needs of the inmates. In addition, the death sentence is more suitable as those sentenced to life in prison are at times released under the context of rehabilitation and overcrowded prisons. This allows them to return to the society and continue with their criminal activities. This way, taking the life of the criminal, ensures with maximum certainty that the crime will not be committed again, but by the same person. However, this is not the case, as there is existence of sentences that subject criminals to life imprisonment with no chance of parole. This way, inmates have way of leaving thus the death sentence is rendered redundant. However, Life imprisonment is the better option of the two due to its deterrent nature, as the death sentence is not a deterrent measure to stopping crime. This is because; only sane people can plan any crime that is punished by death, as they have the time and ability to carry out the plans that end up in the crime (Smith). This way punishing people by having theme serve time in prison where they cannot enjoy their freedom and some rights reduces the chances of s imilar crimes recurring, either perpetrated by the same person or other members of the society. In addition, life in prison ensures that no more crimes are committed by the government in the name of protecting the safety of the public through executions (Procon.org). This way, it allows resources to be turned to other issues that require attention other than attempting to exhaust legal channels in a bid to save lives. This

Business marketing report Case Study Example | Topics and Well Written Essays - 2250 words

Business marketing report - Case Study Example The gist of this is the need for an effective marketing plan that carefully takes into consideration all of the available data, with the end goal of helping MMG achieve its yearly revenues target of $1 million, or a turnover of 100 guitars on a monthly basis (Finnbogason). II. Discussion A. Analysis of the Case Facts The total guitar market in Canada is $59 million, and the revenue targets of MMG accounts for a small fraction of that, indicating a certain amount of realism in the sales targets, given that the MMG play is purely online. The total market is made up of 2.5 million people, while the sales target is 1,200 guitars annually out of total potential sales of 146,000 acoustic guitars. Again this numerical target is realistic, and is just a small fraction of all unit sales in the country. Meanwhile, among age groups, those between 15 and 24 years and over 55 years had the most leisure time, and they are natural potential target markets for guitars, as a leisure product (Finnboga son). China is the traditional manufacturing base for MMG, but given a one percent increase in tariff and rising labor costs and transport logistics costs, there is some concern whether China remains viable moving forward. Scale is a factor in this decision, and given that MMG only moves 1,200 units a year by target, there is the question of whether the scale is significant enough that any upward movements in labor costs, shipping costs, and tariffs would be material increases in the cost structure of MMG, given profit margins exceed 50 percent of costs, as projected for the new dreadnaught product to be launched in June of that year (Finnbogason). That MMG guitars suffer from a quality perception problem over the fact that its guitars are made in China., even though its guitars in actuality are of high quality and are preferred by seasoned musicians even in TV-broadcasted blind tests, is not a deal breaker, and can be assuaged and managed with advertising. In this sense endorsement deals help. Likewise, word of mouth can be a powerful form of endorsement from ordinary players who become customers as well. In other words, this problem of quality perception is not really a major problem, assuming that the right marketing interventions are implemented in the context of a holistic marketing plan for all of MMG (Finnbogason). The table on pricing reveals that the two Summer Wages models have thinner margins than the premium Signature Dreadnaught model, which has a margin of 40 percent. The two basic models sell at $799 for the Tofino model and $899 for the Dionisio model, with margins at 30 percent and 35 percent respectively. In terms of sales contribution currently the premium model accounts for 50 percent of sales, and the latter two models 40 percent and 10 percent respectively. All of the models are substantially cheaper than respective competing models from other makers. On the other hand, the new product launch would make the sales mix different from the ab ove status quo, with the new mahogany-based dreadnaught model taking market share from the premium line and from the Dionisio line, to take up 25 percent of all revenues,