Maryam Majedi

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As the use of social networks becomes more widespread and commonplace, users are beginning to question how their privacy is protected by social networks. In this paper, we review a privacy taxonomy for data storage polices and models and extend it to support social networking. We then apply the extended taxonomy to the privacy policies of six commonly used(More)
Privacy is a leading concern for anyone that utilizes computing resources whether shopping on the Internet or visiting their doctor. Legislative acts require enterprises and data collectors to protect the privacy of their customers and data owners. Although privacy policy frameworks such as P3P assist data collectors in demonstrating their privacy policies(More)
In this paper, a high directivity parallel coupled line coupler using the ε negative (ENG) transmission line is proposed. With the aid of even- and odd-mode analysis, it is shown that by using ENG transmission lines in a parallel coupled line coupler, the even- and odd-mode phase velocities can become equal at a desired frequency. Hence, the(More)
As the amount of data being collected by service providers increases, privacy concerns increase for the data owners that must provide private data to get services. Legislative acts require enterprises protect the privacy of their customers and privacy policy frameworks such as P3P assist enterprises in demonstrating their privacy policies to customers (i.e.(More)
This is a preliminary work to extend SQL to support user privacy in social networks. The proposal is to extend the data definition and data manipulation languages to capture privacy-preserved mandatory and discretionary access controls, respectively. Here, we focus on common user privacy requirements, such as purpose, generalization, and retention, used by(More)
The large scale of linear systems of equations results in costly solving time. These systems usually have specific properties that can be used for designing fast algorithms. In addition, using parallel programming on distributed memory clusters enables us to get the results even faster. This work introduces a new fast parallel algorithm for solving systems(More)
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