Data Privacy Games

• Main Authors: Xu, Lei (Author, http://id.loc.gov/vocabulary/relators/aut), Jiang, Chunxiao (http://id.loc.gov/vocabulary/relators/aut), Qian, Yi (http://id.loc.gov/vocabulary/relators/aut), Ren, Yong (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Data structures (Computer science).; Data mining.; Information storage and retrieval.; Management information systems.; Computer science.; E-commerce.; Data Structures and Information Theory.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Management of Computing and Information Systems.; e-Commerce/e-business.

With the growing popularity of "big data", the potential value of personal data has attracted more and more attention. Applications built on personal data can create tremendous social and economic benefits. Meanwhile, they bring serious threats to individual privacy. The extensive collecti...

Table of Contents:

• 1 The Conflict between Big Data and Individual Privacy
• 2 Privacy-Preserving Data Collecting: A Simple Game Theoretic Approach
• 3 Contract-based Private Data Collecting
• 4 Dynamic Privacy Pricing
• 5 User Participation Game in Collaborative Filtering
• 6 Privacy-Accuracy Trade-off in Distributed Data Mining
• 7 Conclusion.