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.

中文翻译：

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针对物联网智能电网的恶意数据挖掘攻击的隐私保护数据聚合

与现有电网相比，支持物联网 (IoT) 的智能电网可以实现更可靠、更高频的数据采集和传输。然而，这种频繁的数据处理可能会消耗大量带宽，甚至会危及用户的隐私。尽管已经提出了许多隐私保护数据聚合方案来解决这个问题，但它们仍然存在一些安全弱点或性能不足，例如缺乏令人满意的数据保密性和对恶意数据挖掘攻击的抵抗力。为了解决这些问题，我们为支持物联网的智能电网提出了一种新颖的隐私保护数据聚合方案（称为 PDAM），它可以支持高效的数据源身份验证和完整性检查、安全的动态用户加入和退出。与现有方案不同，PDAM 对内部或外部攻击者发起的恶意数据挖掘攻击具有弹性，不仅可以针对恶意聚合器，还可以针对授权用户的好奇控制中心实现完美的数据机密性。详细的安全和性能分析表明，我们提出的 PDAM 可以满足智能电网系统的几个众所周知的安全特性和理想的效率。此外，比较研究和实验表明，PDAM 在安全性和性能方面都优于其他最近提出的工作。详细的安全和性能分析表明，我们提出的 PDAM 可以满足智能电网系统的几个众所周知的安全特性和理想的效率。此外，比较研究和实验表明，PDAM 在安全性和性能方面都优于其他最近提出的工作。详细的安全和性能分析表明，我们提出的 PDAM 可以满足智能电网系统的几个众所周知的安全特性和理想的效率。此外，比较研究和实验表明，PDAM 在安全性和性能方面都优于其他最近提出的工作。