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· 분류 : 외국도서 > 컴퓨터 > 인터넷 > 보안
· ISBN : 9789811917967
· 쪽수 : 119쪽
· 출판일 : 2022-04-28
목차
· Chapter 1: Introduction
o Privacy research landscape
o Machine learning driven privacy preservation overview
o Contribution of this monograph
o Outline of the monograph
· Chapter 2: Current Methods of Privacy Protection in IoTs
o Cryptography based methods
o Differential privacy methods
o Anonymity-based methods
o Clustering-based methods
· Chapter 3: Decentralized Privacy Protection of IoTs using Blockchain-Enabled Federated Learning
o Overview
o System Modelling
o Decentralized Privacy Protocols
o Blockchain-enabled Federated Learning
· Chapter 4: Personalized Privacy Protection of IoTs using GAN-Enhanced Differential Privacy
o Overview
o System Modelling
o Personalized Privacy
o GAN-Enhanced Differential Privacy
· Chapter 5: Hybrid Privacy Protection of IoT using Reinforcement Learning
o Overview
o System Modelling
o Hybrid Privacy
o Markov Decision Process and Reinforcement Learning
· Chapter 6: Future Directions
o Trade-off optimization
o Privacy preservation of digital twin
o Privacy-preserving federated learning
o Federated generative adversarial nets
· Chapter 7: Summary and Outlook
