Title | Source-Location Privacy Based on Dynamic Mix-Ring in Wireless Sensor Networks |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Tang, Di, Gu, Jian, Yu, You, Yang, Yuanyuan, Han, Weijia, Ma, Xiao |
Conference Name | 2018 International Conference on Computing, Networking and Communications (ICNC) |
Keywords | compositionality, data privacy, dynamic mix-ring, Heuristic algorithms, Human Behavior, Location Privacy in Wireless Networks, Metrics, Monitoring, Position measurement, privacy, pubcrawl, Resiliency, Routing, routing algorithm, Routing protocols, source-location privacy, statistical analysis, telecommunication security, wireless communications, Wireless sensor networks, WSNs |
Abstract | Wireless sensor networks (WSNs) have the potential to be widely used in many applications. Due to lack of a protected physical boundary, wireless communications are vulnerable to unauthorized interception and detection. While encryption can provide the integrality and confidentiality of the message, it is much more difficult to adequately address the source location privacy. For static deployed WSNs, adversary can easily perform trace-back attack to locate the source nodes by monitoring the traffic. The eavesdropped messages will leak the direction information of the source location by statistic analysis on traffic flow. In this paper, we propose a theoretical analysis measurement to address the quantitative amount of the information leakage from the eavesdropped message. Through this scheme, we analyze the conditions that satisfy the optimum protection for routing protocol design. Based on the proposed principle, we design a routing algorithm to minimize the information leakage by distributing the routing path uniformly in WSN. The theoretical analysis shows the proposed routing algorithm can provide approximate maximization of source location privacy. The simulation results show the proposed routing algorithm is very efficient and can be used for practical applications. |
DOI | 10.1109/ICCNC.2018.8390237 |
Citation Key | tang_source-location_2018 |