Random projection data perturbation based privacy protection in WSNs
Wireless sensor networks are responsible for sensing, gathering and processing the information of the objects in the network coverage area. Basic data fusion technology generally does not provide data privacy protection mechanism, and the privacy protection mechanism in health care, military reconnaissance, smart home and other areas of the application is usually indispensable. In this paper, we consider the privacy, confidentiality, and the accuracy of fusion results, and propose a data fusion algorithm for privacy preserving. This algorithm relies on the characteristics of data fusion, and uses the method of pre-distribution random number in the node to get the privacy protection requirements of the original data. Theoretical analysis shows that the malicious attacker attempts to steal the difficulty of node privacy in PPND algorithm. At the same time in the TOSSIM simulation results also show that, compared with TAG, SMART algorithm, PPND algorithm in the data traffic, the convergence accuracy of the good performance.
Data fusion, Data privacy, Sparse projection data perturbation, Wireless sensor networks
Ming, Zhao, Wu Zheng-jiang, and Hui Liu. "Random projection data perturbation based privacy protection in WSNs." In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 493-498. IEEE, 2017.
2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017