Data Privacy Games

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...

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Κύριοι συγγραφείς: Xu, Lei (Συγγραφέας, 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)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.