Privacy-enhancing aggregation techniques for smart grid communications

• 作者： Lu, Rongxing, author.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Wireless networks.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Wireless networks,
• 主題： Computer networks--Security measures. , Smart power grids--Security measures. , Computer Science. , Systems and Data Security. , Computer Communication Networks. , Communications Engineering, Networks. , Data Encryption.
• ISBN： 9783319328997 (electronic bk.) 、 9783319328973 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Homomorphic Public Key Encryption Techniques -- Privacy-Preserving Multidimensional Data Aggregation -- Privacy-Preserving Subset Data Aggregation -- Privacy-Preserving Multifunctional Data Aggregation -- Privacy-Preserving Data Aggregation with Fault Tolerance -- Differentially Private Data Aggregation with Fault Tolerance -- Privacy-Preserving Data Aggregation with Data Integrity and Fault Tolerance.
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• 摘要註: 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.
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