| Title | Quantitative Analysis on Source-Location Privacy for Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Tang, Di, Gu, Jian, Han, Weijia, Ma, Xiao |
| Conference Name | IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
| Date Published | July 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-8695-5 |
| Keywords | compositionality, Human Behavior, location privacy, Location Privacy in Wireless Networks, Metrics, Monitoring, Position measurement, privacy, pubcrawl, Random variables, resilience, Resiliency, Routing, security, wireless networks, Wireless sensor networks |
| Abstract | Wireless sensor networks (WSNs) have been widely used in various applications for continuous event monitoring and detection. Dual to lack of a protected physical boundary, WSNs are vulnerable to trace-back attacks. The existing secure routing protocols are designed to protect source location privacy by increasing uncertainty of routing direction against statistic analysis on traffic flow. Nevertheless, the security has not been quantitatively measured and shown the direction of secure routing design. In this paper, we propose a theoretical security measurement scheme to define and analyze the quantitative amount of the information leakage from each eavesdropped message. Through the theoretical analysis, we identify vulnerabilities of existing routing algorithms and quantitatively compute the direction information leakage based on various routing strategy. The theoretical analysis results also indicate the direction for maximization of source location privacy. |
| URL | https://ieeexplore.ieee.org/document/9162756 |
| DOI | 10.1109/INFOCOMWKSHPS50562.2020.9162756 |
| Citation Key | tang_quantitative_2020 |
Quantitative Analysis on Source-Location Privacy for Wireless Sensor Networks