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Malicious phishing stations, which disguise as legitimate devices through MAC address forgery, constitute a lot of Wireless Local Area Network (WLAN) security threats, such as secret information theft, implantation of Trojans and backdoors, etc. In this paper, a passive method based on wireless fingerprinting for detecting malicious phishing stations is proposed. We design 11 dimensions of features of station's fingerprinting, which can be extracted from frames and packets on MAC layer and application layer of open system interconnection (OSI) protocol stack. We have monitored wireless traffic above 60 hours and collected more than 10GB data in a real scenario to fingerprint all stations for recognizing phishing stations. We also evaluate the performance of proposed method by considering precision, recall, false positives and false negatives. The results show that our method has good performance that can detect phishing stations effectively and our method is also scalable.

A Method for Detecting 802.11 Wireless Malicious Phishing Stations through Fingerprinting