In this paper, we present a multidimensional, highly effective method for aggregating data for wireless sensor networks while maintaining privacy. The suggested system is resistant to data loss and secure against both active and passive privacy compromising attacks, such as the coalition attack from a rogue base station and kidnapped sensor nodes. With regard to cluster size, it achieves consistent communication overhead, which is helpful in large-scale WSNs. Due to its constant size communication overhead, the suggested strategy outperforms the previous privacy-preserving data aggregation scheme not only in terms of privacy preservation but also in terms of communication complexity and energy costs.

翻译：本文提出了一种多维、高效且保护隐私的无线传感器网络数据聚合方法。所建议的方案能够抵御数据丢失，并对主动与被动的隐私破坏攻击（例如来自恶意基站的合谋攻击以及被挟持的传感器节点）具有安全性。在集群规模方面，该方法实现了恒定的通信开销，这对大规模无线传感器网络十分有利。由于其通信开销保持恒定，所提出的方案不仅在隐私保护方面，而且在通信复杂度和能耗方面均优于先前的隐私保护数据聚合方案。