期刊
ACM TRANSACTIONS ON SENSOR NETWORKS
卷 17, 期 3, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3440249
关键词
Data aggregation; malicious data mining attack; privacy-preserving; smart grid
资金
- Major Scientific and Technological Innovation Project of Shandong Province [2020CXGC010115]
- National Natural Science Foundation of China [61772377, 61932016, 61972294, U20A20177]
- Special Project on Science and Technology Program of Hubei Province [2020AEA013]
- Natural Science Foundation of Hubei Province [2020CFA052]
- Wuhan Municipal Science and Technology Project [2020010601012187]
- Science and Technology Planning Project of ShenZhen [JCYJ20170818112550194]
- King Saud University, Riyadh, Saudi Arabia [RSP-2020/12]
IoT-enabled smart grids can achieve reliable and high-frequency data collection and transmission, but may consume a lot of bandwidth and pose a risk to user privacy. The proposed privacy-preserving data aggregation scheme (PDAM) addresses these issues by supporting efficient data source authentication and integrity checking. The PDAM is resilient to malicious data mining attacks and ensures perfect data confidentiality for authorized users.
Internet of Things (IoT)-enabled smart grids can achieve more reliable and high-frequency data collection and transmission compared with existing grids. However, this frequent data processing may consume a lot of bandwidth, and even put the user's privacy at risk. Although many privacy-preserving data aggregation schemes have been proposed to solve the problem, they still suffer from some security weaknesses or performance deficiency, such as lack of satisfactory data confidentiality and resistance to malicious data mining attack. To address these issues, we propose a novel privacy-preserving data aggregation scheme (called PDAM) for IoT-enabled smart grids, which can support efficient data source authentication and integrity checking, secure dynamic user join and exit. Unlike existing schemes, the PDAM is resilient to the malicious data mining attack launched by internal or external attackers and can achieve perfect data confidentiality against not only a malicious aggregator but also a curious control center for an authorized user. The detailed security and performance analysis show that our proposed PDAM can satisfy several well-known security properties and desirable efficiency for a smart grid system. Moreover, the comparative studies and experiments demonstrate that the PDAM is superior to other recently proposed works in terms of both security and performance.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据