面向无线传感器网络的数据完整性和隐私保护融合算法

无线传感器网络(WSNs)作为物联网的重要组成部分,在实际应用中,希望在得到精确数据融合结果的同时,又能保护数据信息的隐私性和完整性。为此,提出一种新的数据融合完整性保护算法,在增添私有种子对节点采集数据进行隐私保护的基础上,利用复数的虚部数据与采集到的真实数据呈非线性关系,有效地实现信息完整性的鉴别。性能分析和仿真结果表明:该算法可以在较低数据通信开销与计算开销的前提下,应对恶意节点的各种攻击,提供更有效更可靠的数据完整性保护。

Integrity and privacy protection data fusion algorithm for WSNs

Wireless sensor networks （WSNs） is an important part of the Internet of things （IoT）,in practical applications,it is expected to provide privacy preserving and integrity protecting in accurate data aggregation.So,a new integrity of data fusion protection algorithm is proposed,on the basis of adding privacy seed to node acquiring data in order to preserve privacy,by using the imaginary unit and real unit of complex numbers show nonlinear relation,to effectively achieve the integrity of information identification.Performance analysis and simulation results show that under the premise of lower data communication cost and computation overheads,the algorithm can handle various attacks of adversaries,and provide more efficient and more reliable data integrity protection.