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Lightweight privacy-preserving data aggregation protocol against internal attacks in smart grid
Journal of Information Security and Applications ( IF 5.6 ) Pub Date : 2020-10-15 , DOI: 10.1016/j.jisa.2020.102628
Xiao-Di Wang , Wei-Zhi Meng , Yi-Ning Liu

Privacy-preserving data aggregation has been studied extensively over the past decades, but there are still some concerns remained. For example, some schemes cannot resist against internal attacks, especially when the internal attack is launched by either the data centers that allocate the system security parameters or the attacker who shares the common information with the targeted user. In this paper, we propose a lightweight privacy-preserving data aggregation scheme, which is more efficient and suitable for the resource-constrained devices. Our scheme aggregates total electricity consumption data in the smart grid, with the capability of resisting against the collusion attacks with (n − 1) users. In the evaluation, we investigate the performances in the aspects of computation and communication costs as compared with the state-of-the-art, and the results show that our scheme is practical for the current smart grid environment.



中文翻译:

轻巧的隐私保护数据聚合协议,可抵御智能电网中的内部攻击

在过去的几十年中,对保护隐私的数据聚合进行了广泛的研究,但是仍然存在一些担忧。例如,某些方案无法抵抗内部攻击,尤其是当内部攻击是由分配系统安全参数的数据中心发起的,或者是与目标用户共享公用信息的攻击者发起的内部攻击时。在本文中,我们提出了一种轻量级的隐私保护数据聚合方案,该方案效率更高且适用于资源受限的设备。我们的方案可汇总智能电网中的总用电量数据,并具有抵御(n − 1)用户。在评估中,我们研究了与最新技术相比在计算和通信成本方面的性能,结果表明我们的方案适用于当前的智能电网环境。

更新日期:2020-10-30
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