保持智能电网数据聚合的数据完整性

Fengjun Li, Bo Luo
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引用次数: 93

摘要

在智能电网系统中,引入了安全的网内数据聚合方法来有效地收集聚合数据,同时保护各个电表的数据隐私。然而,在出现意外错误和内部/外部攻击的情况下,保持聚合数据的完整性也很重要。为了保证聚合的正确性,避免意外错误,我们引入了端到端签名方案,该方案为聚合结果生成同态签名。同态签名方案兼容基于同态加密的网络内聚合方案,支持对聚合结果进行高效的批量验证。接下来,为了防御可疑/受损的仪表和外部攻击,我们提出了一种逐跳签名方案和增量验证协议。在这种方法中,签名是分布式管理的,只有在事后才触发验证——当收集器检测到聚合结果中的异常时。增量验证过程从收集器开始,并以呼吸优先的方式跟踪异常。在O(logN)次迭代中识别异常节点。因此,验证过程在计算上是廉价的,同时确保了可靠性和不可否认性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preserving data integrity for smart grid data aggregation
In smart grid systems, secure in-network data aggregation approaches have been introduced to efficiently collect aggregation data, while preserving data privacy of individual meters. Nevertheless, it is also important to maintain the integrity of aggregate data in the presence of accidental errors and internal/external attacks. To ensure the correctness of the aggregation against unintentional errors, we introduce an end-to-end signature scheme, which generates a homomorphic signature for the aggregation result. The homomorphic signature scheme is compatible with the in-network aggregation schemes that are also based on homomorphic encryption, and supports efficient batch verifications of the aggregation results. Next, to defend against suspicious/compromised meters and external attacks, we present a hop-by-hop signature scheme and an incremental verification protocol. In this approach, signatures are managed distributedly and verification is only triggered in an ex post facto basis - when anomalies in the aggregation results are detected at the collector. The incremental verification process starts from the collector, and traces the anomaly in a breath-first manner. The abnormal node is identified within O(logN) iterations. Therefore, the verification process is computationally inexpensive, while ensuring faithfulness and undeniability properties.
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