Abstract
Malicious access points (APs) have emerged as a serious security problem. In this paper, we propose LAMP, a lightweight and accurate malicious access points localization via channel phase information. We utilize a commercial wireless card for malicious APs localization with little human effort. The localization framework consists of three components: feature extraction, direction determination and localization. We first extract the available channel phase information by a linear transformation and purify eigenvalues by denoising. Then, the direction of an AP can be accurately detected by our developed self-adaptive MUSIC algorithm. Finally, the localization of the AP is realized by a triangulation algorithm with only one device placed at multiple locations. Experimental results show the median detection error of angle is about \(5^\circ \) and median localization error is about 35 cm.
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Acknowledgments
Our work is supported by NSF China (Grants No. 61502520, 61472098, 61672038 and 61572366), National Key R&D Plan (2016YFB0800805), Chongqing Research Program of Basic Research and Frontier Technology: No. CSTC2016JCYJA0053.
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Gong, L. et al. (2018). LAMP: Lightweight and Accurate Malicious Access Points Localization via Channel Phase Information. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_62
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DOI: https://doi.org/10.1007/978-3-319-94268-1_62
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