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Analyzing and securing social networks by Thuraisingham, Bhavani M

By Thuraisingham, Bhavani M

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Another major concern with social media mining and analytics is that private information about individuals can be extracted from the public information they post. As a result, privacy violations may occur due to data analytics in OSNs. Finally, various members of OSNs place different trust values on their online friends. Therefore, trust management is also an important aspect of OSNs. 3 illustrates the various security, privacy, and trust aspects of OSNs. We have conducted considerable research on security and privacy for OSNs.

Chapter 14 describes our approach to studying privacy in social networks. ChapterĀ 15 describes classification of OSNs by incorporating link types. Chapter 16 describes extending classification of social networks through indirect friendships. Chapter 17 describes social network classification through data partitioning. Chapter 18 describes the sanitization of social network data for release to semitrusted third parties. Section V consists of four chapters that describe access control and inference control for social networks.

Chapter 16 describes extending classification of social networks through indirect friendships. Chapter 17 describes social network classification through data partitioning. Chapter 18 describes the sanitization of social network data for release to semitrusted third parties. Section V consists of four chapters that describe access control and inference control for social networks. Chapter 19 describes the design of our access control techniques applied to social networks represented using semantic web technologies.

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