RIPPS

Author:

Mano Chad D.1,Blaich Andrew1,Liao Qi1,Jiang Yingxin1,Cieslak David A.1,Salyers David C.1,Striegel Aaron1

Affiliation:

1. University of Notre Dame

Abstract

Wireless network access has become an integral part of computing both at home and at the workplace. The convenience of wireless network access at work may be extremely beneficial to employees, but can be a burden to network security personnel. This burden is magnified by the threat of inexpensive wireless access points being installed in a network without the knowledge of network administrators. These devices, termed <it>Rogue Wireless Access Points</it>, may allow a malicious outsider to access valuable network resources, including confidential communication and other stored data. For this reason, wireless connectivity detection is an essential capability, but remains a difficult problem. We present a method of detecting wireless hosts using a local RTT metric and a novel packet payload slicing technique. The local RTT metric provides the means to identify physical transmission media while packet payload slicing conditions network traffic to enhance the accuracy of the detections. Most importantly, the packet payload slicing method is transparent to both clients and servers and does not require direct communication between the monitoring system and monitored hosts.

Funder

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,General Computer Science

Reference16 articles.

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2. Bellovin S. M. 2002. A technique for counting NATted hosts. In <it>Proceedings of the 2nd ACM SIGCOMM Workshop on Internet Measurement (SIGCOMM'02)</it>. 267--272. 10.1145/637201.637243 Bellovin S. M. 2002. A technique for counting NATted hosts. In <it>Proceedings of the 2nd ACM SIGCOMM Workshop on Internet Measurement (SIGCOMM'02)</it>. 267--272. 10.1145/637201.637243

3. Beyah R. Kangude S. Yu G. Strickland B. and Copeland J. 2004. Rogue access point detection using temporal traffic characteristics. In <it>Proceedings of IEEE Global Telecommunications Conference (GLOBECOM'04)</it>. 2271--2275. Beyah R. Kangude S. Yu G. Strickland B. and Copeland J. 2004. Rogue access point detection using temporal traffic characteristics. In <it>Proceedings of IEEE Global Telecommunications Conference (GLOBECOM'04)</it>. 2271--2275.

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