【摘要】 不同于以往仅关注无线传感器网络中安全数据聚合(secure data aggregation, SDA)的机密性而忽视其可靠性的研究，将群智感知的拍卖模型与SDA相结合，提出了一种新的安全隐私同态数据聚合机制(secure privacy homomorphism data aggregation, SPHDA).首先，讨论了SDA的拍卖模型，与传统的拍卖模型相比，该模式可同时具有隐私保护和完整性验证能力.其次，研究了一种激励机制，簇头仅从簇内的成员节点的子集收集传感数据，以减少节点之间的通信量，同时不失准确性和完整性.仿真结果表明，该机制在准确性的约束下保障了系统的有效性.更多还原

【Abstract】 Unlike previous research that only focused on the confidentiality of secure data aggregation(SDA)while ignoring its reliability in wireless sensor networks, this paper combines the auction model of crowdsourcing with SDA and proposes a new secure privacy homomorphic data aggregation mechanism(SPHDA).Firstly, the auction model of SDA is discussed.Compared with the traditional auction model, this model can simultaneously provide privacy protection and integrity verification capabilities.Secondly, an incentive mechanism is studied, in which the cluster head only collects sensing data from a subset of member nodes within the cluster to reduce communication among nodes while maintaining accuracy and integrity.Simulation results show that the mechanism guarantees the effectiveness of the system under the constraint of accuracy.更多还原