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Books > Computing & IT > Social & legal aspects of computing > Privacy & data protection
Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technologies that ensure the privacy of the participants of the network as well as provide controlled access to the information posted and exchanged by the participants. The authors explore security and privacy issues for social media systems, analyze such systems, and discuss prototypes they have developed for social media systems whose data are represented using semantic web technologies. These experimental systems have been developed at The University of Texas at Dallas. The material in this book, together with the numerous references listed in each chapter, have been used for a graduate-level course at The University of Texas at Dallas on analyzing and securing social media. Several experimental systems developed by graduate students are also provided. The book is divided into nine main sections: (1) supporting technologies, (2) basics of analyzing and securing social networks, (3) the authors' design and implementation of various social network analytics tools, (4) privacy aspects of social networks, (5) access control and inference control for social networks, (6) experimental systems designed or developed by the authors on analyzing and securing social networks, (7) social media application systems developed by the authors, (8) secure social media systems developed by the authors, and (9) some of the authors' exploratory work and further directions.
Who Are The Cypherpunks?
Protecting the privacy of student data when bringing technology into the classroom is one of the toughest organizational challenges facing schools and districts today. Parent and legislator concerns about how school systems protect the privacy of student data are at an all-time high. School systems must navigate complex federal and state regulations, understand how technology providers collect and protect student data, explain those complexities to parents, and provide the reassurance the community needs that the student information will remain safe. Student Data Privacy: Building a School Compliance Program provides solutions for all of these challenges and more. It is a step-by-step journey through the process of building the policies and practices to protect student data, and shifting the organizational culture to prioritize privacy while still taking advantage of the tremendous benefits that technology has to offer in the modern classroom. |
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