Detecting spectrum misuse in wireless networks

MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems

Volumn , Issue , 2012, Pages 245-253

  Tan, Kefeng ^a   Zeng, Kai ^b   Wu, Daniel ^c   Mohapatra, Prasant ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MICHIGAN DEARBORN   (United States)

^c GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL ALLOCATION; LOCAL NETWORKS; MISCONFIGURATIONS; SPECTRUM ALLOCATION; SPECTRUM DEMAND; SPECTRUM EFFICIENCY; SPECTRUM USAGE; WIRELESS DEVICES;

SENSORS;

WIRELESS NETWORKS;

EID: 84877656913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MASS.2012.6502523     Document Type: Conference Paper

References (23)

1. Aruba's enterprise wlan solution. http://www.arubanetworks.com/pdf/ solutions/AB ENT.pdf.
2. Intel wimax/wifi link 5350 and link 5150 product briefs. http://www.intel.com/support/wireless/wmax/5350 5150/sb/CS-029594.htm.
3. Madwifi project. http://MadWifi.net.
4. Rice university warp project. http://warp.rice.edu.
5. M. Arslan, K. Pelechrinis, I. Broustis, S. Krishnamurthy, S. Addepalli, and K. Papagiannaki. Auto-configuration of 802.11 n WLANs. In ACM CoNEXT, 2010.
6. P. Bahl, R. Chandra, T. Moscibroda, R. Murty, and M. Welsh. White space networking with Wi-Fi like connectivity. In ACM SIGCOMM, 2009.
7. R. Chandra, R. Mahajan, T. Moscibroda, R. Raghavendra, and P. Bahl. A Case for Adapting Channel Width in Wireless Networks. In ACM SIGCOMM, 2008.
8. C.-T. Chou, K. G. Shin, and S. Shankar N. Contention-Based Airtime Usage Control in Multirate IEEE 802.11 Wireless LANs. IEEE/ACM Transactions on Networking, 2006.
9. R. Gummadi and H. Balakrishnan. Wireless networks should spread spectrum based on demands. In HotNets, 2008.
10. M. Heusse, F. Rousseau, G. Berger-sabbatel, and A. Duda. Performance Anomaly of 802.11b. In IEEE INFOCOM, 2003.
11. H. Javitz and A. Valdes. The SRI IDES statistical anomaly detector. In IEEE Computer Society Symposium on Research in Security and Privacy, 1991.
12. S. Mathur, W. Trappe, N. Mandayam, C. Ye, and A. Reznik. Radiotelepathy: extracting a secret key from an unauthenticated wireless channel. In ACM MOBICOM, 2008.
13. M. Mirza, P. Barford, X. Zhu, S. Banerjee, and M. Blodgett. Fingerprinting 802.11 rate adaptation algorithms. In IEEE INFOCOM, 2011.
14. T. Moscibroda, R. Chandra, Y. Wu, S. Sengupta, P. Bahl, and Y. Yuan. Load-aware spectrum distribution in Wireless LANs. In IEEE ICNP, 2008.
15. H. Rahul, F. Edalat, D. Katabi, and C. G. Sodini. Frequency-aware rate adaptation and MAC protocols. ACM MobiCom, 2009.
16. T. Rappaport. Wireless Communications: Principle and Practice, 2nd edition. Prentice Hall, 2001.
17. A. Schulman, D. Levin, and N. Spring. Dataset of wireless network measurement in the SIGCOMM 2008 conference. http://crawdad.cs.dartmouth.edu/umd/ sigcomm2008, Mar. 2009.
18. G. Tan and J. Guttag. Time-based fairness improves performance in multi-rate WLANs. In USENIX Annual Technical Conference, 2004.
19. J. H. J. Terry. OFDM Wireless LANs:A Theoretical and Practical Guide. Sams Publishing, 2001.
20. L. Yang, W. Hou, L. Cao, B. Zhao, and H. Zheng. Supporting demanding wireless applications with frequency-agile radios. In USENIX NSDI, 2010.
21. Yiping Xing. Dynamic spectrum access in open spectrum wireless networks. IEEE JSAC, 2006.
22. Y. Yuan, P. Bahl, R. Chandra, T. Moscibroda, and Y. Wu. Allocating dynamic time-spectrum blocks in cognitive radio networks. In ACM MobiHoc, 2007.
23. K. Zeng, D. Wu, A. Chan, and P. Mohapatra. Exploiting multiple-antenna diversity for shared secret key generation in wireless networks. In IEEE INFOCOM, 2010.