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Secure continuous aggregation and load balancing with false temporal pattern identification for wireless sensor networks

机译：安全的连续聚合和负载平衡，具有无线传感器网络的虚假时间模式识别

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摘要

Continuous aggregation is required in sensor applications to obtain the temporal variation information of aggregates. It helps the users to understand how the environment changes over time and track real time measurements for trend analysis. In the continuous aggregation, the attacker could manipulate a series of aggregation results through compromised nodes to fabricate false temporal variation patterns of the aggregates. Existing secure aggregation schemes conduct one individual verification for each aggregation result. Due to the high frequency and the long period of a continuous aggregation in every epoch, the false temporal variation pattern would incur a great communication cost. In this paper, we detect and verify a false temporal variations pattern by checking only a small part of aggregation results to reduces a verification cost. A sampling based approach is used to check the aggregation results and we also proposed a security mechanisms to protect the sampling process.
机译：传感器应用中需要连续聚合以获得聚集体的时间变化信息。它有助于用户了解环境如何随时间变化并跟踪趋势分析的实时测量。在连续聚合中，攻击者可以通过受损的节点来操纵一系列聚合结果，以制造聚集体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验证。由于每个时代的频率高频率和连续聚合的长时间，假时的时间变化模式会产生很大的沟通成本。在本文中，我们通过仅检查一小部分聚合结果来检测和验证虚假时间变化模式，以降低验证成本。基于采样的方法用于检查聚合结果，我们还提出了一种保护采样过程的安全机制。

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