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.
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.
作者
刘效武
刘新儒
于刊
马文硕
LIU Xiaowu;LIU Xinru;YU Kan;MA Wenshuo(School of Computer Science,Qufu Normal University,276826,Rizhao,Shandong;Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications,100876,Beijing;School of Arti cial Intelligence and Big Data,Zibo Vocational Institute,255314,Zibo,Shandong,PRC)
出处
《曲阜师范大学学报(自然科学版)》
2025年第1期55-62,共8页
Journal of Qufu Normal University(Natural Science)
基金
国家自然科学基金(62272256)
山东省自然科学基金(ZR2021QF050、ZR2021MF075)
山东省自然科学基金重大基础研究(ZR2019ZD10)
山东省重点研发计划(2019GGX1050)
山东省农业应用技术重大创新项目(SD2019NJ007).
关键词
隐私保护
数据聚合
激励机制
服务质量
privacy protection
data aggregation
incentive mechanism
quality of service
