Privacy-Enhancing Aggregation Techniques for Smart Grid Communications
Privacy-Enhancing Aggregation Techniques for Smart Grid Communications
Springer | Security and Cryptology | June 17 2016 | ISBN-10: 3319328972 | 177 pages | pdf | 6.5 mb
Springer | Security and Cryptology | June 17 2016 | ISBN-10: 3319328972 | 177 pages | pdf | 6.5 mb
Authors: Lu, Rongxing
Treats both theoretical and practical aspects of privacy-enhancing data aggregation in smart grid communications
Maximize reader insight into privacy-enhancing data aggregation techniques in IoT scenarios in general, and smart grid communications in particular
Covers privacy-preserving multi-dimensional data aggregation, privacy-preserving multi-function data aggregation, and privacy-preserving data aggregation with fault tolerance and/or differential privacy
This book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional data aggregation, data aggregation with fault tolerance, data aggregation with differential privacy, and data aggregation with integrity protection. Offering a comprehensive exploration of various privacy preserving data aggregation techniques, this book is an exceptional resource for the academics, researchers, and graduate students seeking to exploit secure data aggregation techniques in smart grid communications and Internet of Things (IoT) scenarios.
Number of Illustrations and Tables
28 b/w illustrations
Topics
Systems and Data Security
Computer Communication Networks
Communications Engineering, Networks
Data Encryption
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