Personalized Privacy Protection in Big Data
商品資訊
ISBN13：9789811637520
出版社：Springer Nature
作者：Youyang Qu
出版日：2022/08/08
裝訂：平裝
規格：23.4cm*15.6cm*0.8cm (高/寬/厚)
商品簡介
o Privacy research landscape
o Personalized privacy overview
o Contribution of this book
o Remainder of the book
- Chapter 2: Current Methods of Privacy Protection
o Cryptography based methods
o Differential privacy methodso Anonymity-based methods
o Clustering-base methods
o Machine learning and AI methods
- Chapter 3: Privacy Attacks
o Attack classification
o Rationale of the attacks
o The comparison of attacks- Chapter 4: Personalize Privacy Defense
o Personalized privacy in cyber-physical systems
o Personalized privacy in social networks
o Personalized privacy in smart city
o Personalized privacy in location-based services
o Personalized privacy on the rise
- Chapter 5: Future Directionso Trade-off optimization
o Decentralized privacy protection
o Privacy-preserving federated learning
o Federated generative adversarial nets
- Chapter6: Summary and Outlook
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