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An area based physical layer authentication framework to detect spoofing attacks

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Abstract

In this paper, we propose an area-oriented authentication framework, which aims to provide a light-weight first authentication by reducing the complexity in acquiring and maintaining many different reference vectors as in the traditional one-by-one authentication framework. Under the proposed framework, we first derive the missing detection probability and the false alarm probability, respectively. Then we quantitatively evaluate the average risks that a spoofer is successfully detected or a legitimate user is falsely alarmed, at any position in a certain area. And correspondingly three kinds of areas are defined as the clear area where the spoofers prefer not to attack, the danger area where the spoofers have pretty high probabilities to attack successfully, and the warning area where the legitimate users are much likely to be falsely reported as attackers. These results depict the security situation distribution of a region, and provide useful insights for network operators to take proper following strategies. Finally, simulations are given to verify our analytical derivations and show the impacts of system parameters.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61941114, 61601051), Beijing Municipal Science and Technology Project (Grant No. Z181100003218005), and the 111 Project of China (Grant No. B16006).

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Authors and Affiliations

  1. National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Na Li, Shida Xia, Xiaofeng Tao, Zhiyuan Zhang & Xiaohui Wang

Authors
  1. Na Li
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  2. Shida Xia
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  3. Xiaofeng Tao
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  4. Zhiyuan Zhang
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  5. Xiaohui Wang
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Correspondence to Xiaofeng Tao.

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Li, N., Xia, S., Tao, X. et al. An area based physical layer authentication framework to detect spoofing attacks. Sci. China Inf. Sci. 63, 222302 (2020). https://doi.org/10.1007/s11432-019-2802-x

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  • DOI: https://doi.org/10.1007/s11432-019-2802-x

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