Decentralized Privacy Preservation in Smart Cities / Wireless Networks (PDF)
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This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a comprehensive review of fundamental decentralized techniques and privacy-preserving cryptographic techniques. The next four chapters each detail a decentralized trust-based scheme, focusing respectively on privacy-preserving identity management, cross-domain authentication, data analytics, and data search, in specific use cases. Finally, the book explores open issues and outlines future research directions in the field of decentralized privacy preservation.
- Discusses benefits and challenges of applying decentralized trusts in smart cities
- Provides scheme designs and security analysis for use cases in smart cities, offering insights into applications
- Includes cryptographic knowledge accompanied by practical algorithm and protocol implementations
Dr. Xuemin (Sherman) Shen received the Ph.D.degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular networks. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society. Dr. Shen received "West Lake Friendship Award" from Zhejiang Province in 2023, President's Excellence in Research from the University of Waterloo in 2022, the Canadian Award for Telecommunications Research from the Canadian Society of Information Theory (CSIT) in 2021, the R.A. Fessenden Award in 2019 from IEEE, Canada, Award
- Autoren: Cheng Huang , Xuemin (Sherman) Shen
- 2024, 2024, 168 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031540751
- ISBN-13: 9783031540752
- Erscheinungsdatum: 18.03.2024
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- Dateiformat: PDF
- Grösse: 8.79 MB
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