Biblio

A new program has been developed for style and authorship attribution. Differentiation of styles by transcription symbols has proved to be efficient The novel approach involves a combination of two ways of transforming texts into their transcription variants. The java programming language makes it possible to improve efficiency of style and authorship attribution.

Once an individual employs the use of the Internet for accessing information; carrying out transactions and sharing of data on the Cloud, they are connected to diverse computers on the network. As such, security of such transmitted data is most threatened and then potentially creating privacy risks of users on the federated identity management system in the Cloud. Usually, User's attributes or Personal Identifiable Information (PII) are needed to access Services on the Cloud from different Service Providers (SPs). Sometime these SPs may by themselves violate user's privacy by the reuse of user's attributes offered them for the release of services to the users without their consent and then carrying out activities that may appear malicious and then causing damage to the users. Similarly, it should be noted that sensitive user's attributes (e.g. first name, email, address and the likes) are received in their original form by needed SPs in plaintext. As a result of these problems, user's privacy is being violated. Since these SPs may reuse them or connive with other SPs to expose a user's identity in the cloud environment. This research is motivated to provide a protective and novel approach that shall no longer release original user's attributes to SPs but pseudonyms that shall prevent the SPs from violating user's privacy through connivance to expose the user's identity or other means. The paper introduces a conceptual framework for the proposed user's attributes privacy protection in a federated identity management system for the cloud. On the proposed system, the use of pseudonymous technique also called Privacy Token (PT) is employed. The pseudonymous technique ensures users' original attributes values are not sent directly to the SP but auto generated pseudo attributes values. The PT is composed of: Pseudo Attribute values, Timestamp and SPİD. These composition of the PT makes it difficult for the User's PII to be revealed and further preventing the SPs from being able to keep them or reuse them in the future without the user's consent for any purpose. Another important feature of the PT is its ability to forestall collusion among several collaborating service providers. This is due to the fact that each SP receives pseudo values that have no direct link to the identity of the user. The prototype was implemented with Java programming language and its performance tested on CloudAnalyst simulation.

Java programming language is considered highly important due to its extensive use in the development of web, desktop as well as handheld devices applications. Implementing Java Coding standards on Java code has great importance as it creates consistency and as a result better development and maintenance. Finding bugs and standard's violations is important at an early stage of software development than at a later stage when the change becomes impossible or too expensive. In the paper, some tools and research work done on Coding Standard Analyzers is reviewed. These tools are categorized based on the type of rules they cheeked, namely: style, concurrency, exceptions, and quality, security, dependency and general methods of static code analysis. Finally, list of Java Coding Standards Enforcing Tools are analyzed against certain predefined parameters that are limited by the scope of research paper under study. This review will provide the basis for selecting a static code analysis tool that enforce International Java Coding Standards such as the Rule of Ten and the JPL Coding Standards. Such tools have great importance especially in the development of mission/safety critical system. This work can be very useful for developers in selecting a good tool for Java code analysis, according to their requirements.