Location privacy leaking from spectrum utilization information in database-driven cognitive radio network

Authors:
Zhaoyu Gao;Haojin Zhu;Yao Liu;Muyuan Li;Zhenfu Cao
Affiliations:
Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China;University of South Florida, Tampa, China;Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China
Venue:
Proceedings of the 2012 ACM conference on Computer and communications security
Year:
2012

Citing 2
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In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?

Proceedings of the 14th ACM international conference on Mobile computing and networking
SenseLess: A Database-Driven White Spaces Network

IEEE Transactions on Mobile Computing

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Abstract

The Database-driven Cognitive Radio Network is regarded as a promising way for a better utilization of radio channels without introducing the interference to the primary user. However, it is also facing a series of security threats. In this study, we identify a new kind of location privacy related attack which could geo-locate a secondary user from the spectrum he used. We propose a Spectrum Utilization based Location Inference Algorithm, which is based on the intersection of the possible location sets revealed by each channel access or channel transition event under the presence of the primary user. We implement our algorithm on the data extracted from Google Earth Coverage Maps released by FCC. Our experiement results show that, $80\%$ SUs could be located to 10 cells based on 25 or less channels.