Privacy-preserving analytics for social network data: A survey of currently prevalent tools
Securing Social Networks in Cyberspace
Taylor & Francis
School of Science / ECU Security Research Institute
The widespread use and adoption of social media have enabled several improvements in human lives. We now can build and nurture relationships with more people than ever before at a fraction of the cost of previous years. However, with these advancements, social media has also paved the way for privacy concerns like never before; with the growing number of detailed personal profiles online, the need for protecting users' privacy cannot be understated. This chapter aims to provide an accurate landscape of the field of privacy-preserving analytics of social network data. First, the need for privacy-preserving techniques is considered by exploring real-world examples. Next, a popular method of modeling privacy threats for analysis is described, followed by some widely used techniques and tools. Finally, the techniques and tools' relative strengths and capabilities are summarized to paint a complete landscape, and the most pressing directions for future work are discussed. The review of the tools will help to understand the capabilities of the state-of-the-art privacy analysis techniques and their applications.
Securing Digital Futures