An empirical fingerprint framework to detect Rogue Access Points
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7114133/7160171/07160206.pdf?arnumber=7160206
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Capturing Antique Browsers in Modern Devices: A Security Analysis of Captive Portal Mini-Browsers;Applied Cryptography and Network Security;2023
2. Confronting and intrusion detection techniques of cyber-attacks in wired and wireless communication networks;Proceedings of the 26th Pan-Hellenic Conference on Informatics;2022-11-25
3. An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks;International Journal of Wireless Information Networks;2018-03-29
4. Detecting Evil-Twin Attack with the Crowd Sensing of Landmark in Physical Layer;Algorithms and Architectures for Parallel Processing;2018
5. Rogue Access Points Detection Based on Theory of Semi-Supervised Learning;Security, Privacy, and Anonymity in Computation, Communication, and Storage;2017
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