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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gao, Zhaoyu Liu, Yao Zhu, Haojin Li, Muyuan Cao, Zhenfu |
| 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. |
| Starting Page | 1025 |
| Ending Page | 1027 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781450316514 |
| DOI | 10.1145/2382196.2382313 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-10-16 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Spectrum utilization Location privacy Db-driven cognitive radio network |
| Content Type | Text |
| Resource Type | Article |
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