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Towards a respondent-preferred ki-anonymity model
Kok-Seng WONG,Myung Ho KIM
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 720-731 doi: 10.1631/FITEE.1400395
Keywords： Anonymous data collection Respondent-preferred privacy protection k-anonymity
Double-blockchain Assisted Secure and Anonymous Data Aggregation for Fog-enabled Smart Grid Article
Siguang Chen, Li Yang, Chuanxin Zhao, Vijayakumar Varadarajan, Kun Wang
Engineering 2022, Volume 8, Issue 1, Pages 159-169 doi: 10.1016/j.eng.2020.06.018
As a future energy system, the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable services. However, this efficient and reliable service relies on collecting and analyzing users’ electricity consumption data frequently, which induces various security and privacy threats. To address these challenges, we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named DA-SADA. Specifically, we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain, which provides strong support for achieving efficient and secure data collection in smart grids. Subsequently, we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption, batch aggregation signature and anonymous authentication. In particular, the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data aggregation. Finally, the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.
Keywords： Blockchain Fog computing Homomorphic encryption Smart grid Anonymity
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