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篇名 |
A Privacy-preserving Multi-dimensional Data Aggregation Scheme with Forward Security in Smart Grid
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並列篇名 | A Privacy-preserving Multi-dimensional Data Aggregation Scheme with Forward Security in Smart Grid |
作者 | Guojun Wang、Xueya Xia、Sai Ji、Chin-Feng Lai |
英文摘要 | Smart grid is a new generation of power system on the strength of rapid-speed bidirectional communication network. In smart grid, the electricity data from users needs to be collected to realize efficient energy management, which may reveal their privacy. In the past period of time, data aggregation protocols have been extensively studied to solve this problem. However, these protocols treat users’ electricity data as singledimensional data, which is inconsistent with reality. Moreover, key leakage is also a serious security threat in the smart grid. Therefore, we propose a multidimensional data aggregation protocol with forward security. In this protocol, a cube data structure is designed to represent the multi-dimensional electricity consumption data of users in a region over multiple time periods, realizing the dual aggregation of electricity data both in time and space. In addition, security analysis shows that the proposed protocol satisfies multiple security properties and performance analysis shows that our protocol is more superior in the smart grid environment. |
起訖頁 | 091-099 |
關鍵詞 | Smart grid、multi-dimensional data aggregation、cube data structure、forward security |
刊名 | 網際網路技術學刊 |
期數 | 202101 (22:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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