Overview

Our project aims to provide a new foundation for wireless network performance and security management, able to dynamically measure, analyze, and protect a WiFi network against performance anomalies and security incidents, with a focus on VoWLAN use cases. Our project partners include Dartmouth College and Aruba Networks.

A $50 wireless sniffer

dwrt54gl
  • Linksys WRT54GL
  • CPU: 200MHz
  • Flash: 4MB
  • RAM: 16MB
  • Single Radio: b/g



 

A more powerful sniffer

ap70
  • Aruba AP70
  • CPU: 266MHz
  • Flash: 8MB
  • RAM: 32MB
  • Dual Radio: a/b/g



 

People

  • Faculty: Guanling Chen, David Kotz, Andrew Campbell
  • Staff: Bennet Vance, Joshua Wright
  • Students:  Udayan Deshpande, Keren Tan, Bo Yan
  • Alumni: Mark Franklin, Tristan Henderson, Douglas Madory, Raz Magar, Yong Sheng, Hongda Yin

Publications

  • Robust Detection of Unauthorized Wireless Access Points
    Guanling Chen, Jie Wang, Bo Yan, and Hongda Yin
    Submitted for publication. July 2008.
  • MAP: A Scalable Monitoring System for Dependable 802.11 Wireless Networks
    Yong Sheng, Guanling Chen, Keren Tan, Udayan Deshpande, Bennet Vance, Hongda Yin, Chris McDonald, Tristan Henderson, David Kotz, Andrew Campbell, and Joshua Wright
    IEEE Wireless Communications, Special Issue on Dependability Issues with Ubiquitous Wireless Access. August 2008.
  • Refocusing in 802.11 Wireless Measurements
    Udayan Deshpande, Chris McDonald, and David Kotz
    Proceedings of Passive and Active Measurement Conference (PAM), Cleveland, OI. April 2008.
  • Detecting Protected Layer-3 Rogue APs
    Hongda Yin, Guanling Chen, and Jie Wang
    IEEE International Conference on Broadband Communications, Networks, and Systems (BROADNETS). September, 2007, Raieigh, NC.

Acknowledgement

We thank our project sponsors:
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