Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other online threats.
Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities is a pivotal reference source for the most up-to-date research on edge clustering models and weighted social networks. Presenting widespread coverage across a range of applicable perspectives and topics, such as neighborhood attacks, fast k-degree anonymization (FKDA), and vertex-clustering algorithms, this book is ideally designed for academics, researchers, post-graduates, and practitioners seeking current research on undirected networks and greedy algorithms for social network anonymization.
Chapter 1: Fundamentals of Social Networks
Chapter 2: Social Network Anonymization
Chapter 3: Social Network Anonymization Techniques
Chapter 4: Clustering Approaches
Chapter 5: Graph Modification Approaches
Chapter 6: Weighted and Directed Graph Approaches
Chapter 7: De-Anonymization Techniques
