On the Security of Verifiable Privacy-preserving Multi-type Data Aggregation Scheme in Smart Grid

Jianhong Zhang, Chenghe Dong, Ziang Li, Sentian Yin, Lidong Han
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引用次数: 0

Abstract

Data aggregation can not only achieve data compression, but also ensure the privacy of individual data, which is widely used in smart grid. To obtain in-depth data analysis and integrity of the transmitted data, Zhang et al. proposed a verifiable privacy-preserving multi-type data aggregation scheme in smart grid (DOI:10.1109/TDSC.2021.3124546, IEEE T DEPEND SECURE). They claim that their scheme can achieve the integrity of encrypted data and aggregated data. However, by analyzing Zhang et al.’s scheme, we find that it does not achieve the data integrity they claim. An adversary can arbitrarily tamper with the encrypted data of the smart meter and the aggregated data of the aggregation gateway. Then the corresponding attacks are given. Finally, after analyzing the reasons for such attacks, we provide a suggestion to overcome them.
智能电网中可验证隐私保护多类型数据聚合方案的安全性研究
数据聚合既能实现数据压缩,又能保证个体数据的隐私性,在智能电网中得到广泛应用。为了获得深入的数据分析和传输数据的完整性,Zhang等人提出了一种可验证的保护隐私的智能电网多类型数据聚合方案(DOI:10.1109/TDSC.2021.3124546, IEEE T DEPEND SECURE)。他们声称他们的方案可以实现加密数据和聚合数据的完整性。然而,通过分析Zhang等人的方案,我们发现它并没有达到他们声称的数据完整性。攻击者可以任意篡改智能电表的加密数据和聚合网关的聚合数据。然后给出了相应的攻击方法。最后,在分析了这些攻击的原因后,提出了克服这些攻击的建议。
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