A Survey on Wireless Malevolent Access Point Detection Methods for WLAN

Authors

  • Rajput P Department of Computer Science and Engineering, University Aurangabad, Maharashtra, India
  • Kulkarni P Department of Computer Science and Engineering, University Aurangabad, Maharashtra, India.

Keywords:

FAP, WLAN, MITMA, Evil Twin Attatck

Abstract

In Current Trends many public places like bus stations, restaurant, malls etc. provides Wi-Fi connectivity to the users with free of cost. These public places having a device like wireless access point through which they provide service to the end users. . It is designed to utilize the existing wireless LAN infrastructure. These rogue access points (APs) expose the enterprise network to a barrage of security vulnerabilities in that they are typically connected to a network port behind the firewall. The growing acceptance of wireless local area network causes a risk of wireless security attacks. The attacker creates a malevolent access point to attract the users and perform attacks on user devices through WLAN. Malevolent access point is one of the serious threats in wireless local area network. We Study in this paper survey on recent different fake access point detection methods and identified their advantages and disadvantages.

References

W.wei,S.Jaiswal,J.Kurose and D.Towsley,Identifying 802.11 traffic from passive measurments using iterative Bayesian inference in Proc. IEEE INFOCOM 06,2006.

L.Watkins,R.Beyah, and C. Corbett, Apassive apporach to rogue access point detection,in Proc. IEEE INFOCOM 06,2006.

Active User-side Evil Twin Access Point Detection Using Statistical Techniques Chao Yang, Yimin Song, and Guofei Gu, Member, IEEE.

Roth, V., Polak, W., Rieffel, E. Turner, T.,"Simple and effective defense against Evil Twin Access Points", WiSec’08, March 31–April 2, 2008, Virginia,USA, 2008.

S. B. Patil, S. M. Deshmukh, Dr. Preeti Patil and Nitin Chavan, “Intrusion Detection Probability Identification in Homogeneous System of Wireless Sensor Network”, International Journal of Computer Engineering & Technology (IJCET), Volume 3, Issue 2, 2012, pp. 12 - 18, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.

Ajay M. Patel, Dr. A. R. Patel and Ms. Hiral R. Patel, “A Comparative Analysis of Data Mining Tools for Performance Mapping of WLAN Data”, International Journal of Computer Engineering & Technology (IJCET), Volume 4, Issue 2, 2013, pp. 241 - 251, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.

Sandip Patil and Vanjale S.B,”Wireless LAN Intrusion Detection and Prevention System for Malicious Access Point ”, Proceedings of the 9th INDIACom; INDIACom-2015; IEEE Conference,11-13th March ,2015

Sandip Patil, Sandeep Vanjale, “Wireless LAN Intrusion Detection System (WLIDS) for Malicious Access Point:” Goa Conference IRAJ, and 13 July 2014.

Sandip Patil and Sandeep Vanjale, “A Survey on Malicious Access Point Detection Methods for Wireless Local Area Network”, IJCSE (E-ISSN: 2347-2693) Vol.2, Issue 3, March 2014.

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Published

2025-11-11

How to Cite

[1]
P. Rajput and P. Kulkarni, “A Survey on Wireless Malevolent Access Point Detection Methods for WLAN”, Int. J. Comp. Sci. Eng., vol. 4, no. 4, pp. 48–51, Nov. 2025.

Issue

Vol. 4 No. 4 (2016): IJCSE April Edition

Section

Survey Article

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