Fake AP Detection Technology Based on Improved DBSCAN Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9968-0_44
Reference8 articles.
1. Huang, J., Liu, B., Liu, P., et al.: Towards anti-interference wifi-based activity recognition system using interference-independent phase component. In: IEEE INFOCOM 2020-IEEE Conference on Computer Communications, pp. 576–585. IEEE (2020)
2. Zhang, Z., Hasegawa, H., Yamaguchi, Y., et al.: Rogue wireless AP detection using delay fluctuation in backbone network. In: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 936–937. IEEE (2019)
3. Vanhoef, M.: Key reinstallation attacks breaking WPA2 by forcing nonce reuse. KU Leuven August (2017)
4. Fang, D., Hu, A., Shi, J.: An all-data-segment radio frequency fingerprint extraction method based on cross-power spectrum. In: 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE), pp. 384–388. IEEE (2022)
5. Huang, D., Al-Hourani, A., Sithamparanathan, K., et al.: Deep learning methods for device authentication using RF fingerprinting. In: 2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS), pp. 1–7. IEEE (2021)
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