Detecting Rogue AP with the Crowd Wisdom

Tongqing Zhou, Zhiping Cai, Bin Xiao, Yueyue Chen, Ming Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

16 Citations (Scopus)


WiFi networks are vulnerable to rogue AP attacks in which an attacker sets up an imposter AP to lure mobile users to connect. The attacker can eavesdrop on the communication, severely threatening users' privacy. Existing rogue AP detection solutions are confined to some specific attack scenarios (e.g., by relaying the traffic to a target AP) or require additional hardware. In this paper, we propose a crowdsensing based approach, named CRAD, to detect rogue APs in camouflage without specialized hardware requirement. CRAD exploits the spatial correlation of RSS to identify a potential imposter, which should be at a different location from the legitimate one. The RSS measurements collected from the crowd facilitate a robust profile and minimize the inaccuracy effect of a single RSS value. As a result, CRAD can filter out abnormal samples sensed in the realtime by dynamically matching the profile. We evaluate our approach with both a public dataset and a real prototype. The results show that CRAD can yield 90% detection accuracy and precision with proper crowd presence, even when the rogue AP is launched close to the legitimate one (e.g., within 1m).
Original languageEnglish
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
Number of pages6
ISBN (Electronic)9781538617915
Publication statusPublished - 13 Jul 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - J.W. Marriott Hotel, Atlanta, United States
Duration: 5 Jun 20178 Jun 2017


Conference37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/TerritoryUnited States


  • Mobile Crowdsensing
  • Rogue AP
  • RSS
  • Wireless Networks

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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