A novel appliance-based secure data aggregation scheme for bill generation and demand management in smart grids

被引:5
|
作者
Dong, Yihui [1 ]
Shen, Jian [1 ,2 ]
Ji, Sai [1 ,3 ]
Qi, Rongxin [1 ]
Liu, Shuai [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Peoples R China
[2] Cyberspace Secur Res Ctr, Peng Cheng Lab, Shenzhen 518000, Peoples R China
[3] Suqian Coll, Sch Informat Engn, Suqian, Peoples R China
基金
中国国家自然科学基金;
关键词
Smart grids; data aggregation; appliance-based; dynamic pricing; privacy preserving;
D O I
10.1080/09540091.2021.1882389
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Internet of Things (IoT) has been introduced into smart grids, which has achieved great improvement. The statistics of power consumption is one of the important functions but could lead to the leakage of user daily behaviour. Researchers have put efforts into secure data aggregation protocols to avoid such potential risk. However, only a few schemes have considered the dynamic unit price of electricity, and no schemes have been designed for calculating the power consumption of every appliance in a specific area. This paper proposes a novel appliance-based data aggregation scheme (ABDAS) for bill generation and demand management in smart grids. In the proposed scheme, chameleon hash function (CHF) is utilised to facilitate the extraction of aggregated data due to the characteristic of collision controllability. Furthermore, indistinguishability obfuscation (IO) is utilised to keep the chameleon hash value secret and decrease the overhead of the trusted third party. The fog nodes (FNs) in our scheme are responsible for the calculation of aggregation with its powerful computing and storage capabilities. The security analysis shows that our scheme satisfies IND-CPA and multiple security goals. Additionally, the performance evaluation indicates that the computational overhead of our scheme is lower than that of existing schemes.
引用
收藏
页码:1116 / 1137
页数:22
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