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Secure Continuous Aggregation in Wireless Sensor Networks

机译:无线传感器网络中的安全连续聚合

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摘要

Continuous aggregation is usually required in many sensor applications to obtain the temporal variation information of aggregates. However, in a hostile environment, the adversary could fabricate false temporal variation patterns of the aggregates by manipulating a series of aggregation results through compromised nodes. Existing secure aggregation schemes conduct one individual verification for each aggregation result, which could incur great accumulative communication cost and negative impact on transmission scheduling for continuous aggregation. In this paper, we identify distinct design issues for protecting continuous in-network aggregation and propose a novel scheme to detect false temporal variation patterns. Compared with the existing schemes, our scheme greatly reduces the verification cost by checking only a small part of aggregation results to verify the correctness of the temporal variation patterns in a time window. A sampling-based approach is used to check the aggregation results, which enables our scheme independent of any particular in-network aggregation protocols as opposed to existing schemes. We also propose a series of security mechanisms to protect the sampling process. Both theoretical analysis and simulations show the effectiveness and efficiency of our scheme.
机译:在许多传感器应用中,通常需要进行连续聚合以获得聚合的时间变化信息。但是,在敌对的环境中,对手可以通过通过受到破坏的节点操纵一系列聚合结果来制造聚合的错误时间变化模式。现有的安全聚合方案对每个聚合结果进行一次单独的验证,这可能会导致巨大的累积通信成本,并对连续聚合的传输调度产生负面影响。在本文中,我们确定了保护连续的网络内聚合的不同设计问题,并提出了一种新颖的方案来检测错误的时间变化模式。与现有方案相比,我们的方案通过仅检查聚合结果的一小部分来验证时间窗口中时间变化模式的正确性,从而大大降低了验证成本。基于采样的方法用于检查聚合结果,这使我们的方案独立于任何特定的网络内聚合协议,而与现有方案相反。我们还提出了一系列安全机制来保护采样过程。理论分析和仿真均表明了该方案的有效性和效率。

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