Securing Social Networks in Cyberspace

Explores several critical areas concerning the security and privacy of online platforms. The chapters discuss privacy-preserving analytics techniques for social network data, including methods like k-anonymity and differential privacy, to protect user information from breaches such as the Cambridge Analytica incident. Several sections are dedicated to cybersecurity threats and countermeasures, detailing the use of steganography and Markov chains to create covert botnet command and control channels on platforms like Twitter, and addressing cross-site scripting (XSS) attacks. Furthermore, the book examines automated content classification for moderation purposes and analyzes the growing problem of cyberbullying severity detection, particularly among neurodiverse learners, while also providing an overview of securing mobile social networks and user profiling techniques.

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