Anti-collusion position estimation in wireless sensor networks

2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS

Volumn , Issue , 2007, Pages

  Kiyavash, Negar ^a   Koushanfar, Farinaz ^b  

^a University of Illinois at Urbana ^*  (United States)

^b Rice University

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISTANCE MEASUREMENT; ESTIMATION; SENSOR NETWORKS; SENSORS; WEIGHT CONTROL; WIRELESS NETWORKS;

COLLUSION ATTACKS; DATA POINTS; MALICIOUS ATTACKS; POSITION ESTIMATION; POSITIONING ALGORITHMS; RANDOM SAMPLES; RANDOMIZED ALGORITHMS; RANDOMLY SAMPLED; RUN-TIME; SENSOR SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 50249153620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MOBHOC.2007.4428647     Document Type: Conference Paper

References (21)

1. K.S. Killourhy, R.A. Maxion, and K.M.C.Tan, "A defense-centric taxonomy based on attack manifestations," in Dependable Systems and Networks (DSN), 2004, pp.102-111.
2. Y. Hu, A. Perrig, and D. Johnson, "Packet leashes: A defense against wormhole attacks in wireless networks," in Proceedings of IEEE Conference on Computer Communications (INFOCOM), 2003, pp. 1976-1986.
3. G. Stuber and J. C. jr., The Mobile Communications Handbook, J.D. Gibson and E.M. Gibson ed., ch. 24, Radiolocation Techniques, CRC Press, 1999.
4. P. Bahl and V. N. Padmanabhan, "RADAR: An in-building RF-based user location and tracking system," in Proceedings of IEEE Conference on Computer Communications (INFOCOM), 2000, pp. 775-784.
5. M. A. Fischler and R. C. Bolles, "Random sample con-sensus: a paradigm for model fitting with applications to chiimage analysis and automated cartography," Communications of the ACM, vol. 24, no. 6, pp. 381-395, 1981.
6. R. Motwani and P. Raghavan, Randomized Algorithms. New York, NY: Cambridge University Press, 1995.
7. N. Priyantha, A. Chakraborty, and H. Balakrishnan, "The Cricket Location-Support System," in Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom), 2000, pp. 32-43.
8. A. Savvides, C. Han, and M. Strivastava, "Dynamic fine-grained localization in ad-hoc networks of sensors," in Proceedings of AC International Conference on Mobile Computing and Networking (MobiCom), 2001, pp. 166-179.
9. D. Niculescu and B. Nath, "Ad hoc positioning system (APS) using AoA," in Proceedings of IEEE Conference on Computer Communications (INFOCOM), 2003, pp. 1734-1743.
10. L. Lazos and R. Poovendran, "Hirloc: High resolution localization for wireless sensornetworks," IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Network Security, vol. 24, no. 2, pp. 233- 246, April 2006.
11. Z. Li, W. Trappe, Y. Zhang, and B. Nath, "Robust statistical methods for securing wireless localization in sensor networks." in Proceedings of The International Symposium on Information Processing in Sensor Networks (IPSN), 2005, pp. 91-98.
12. P. Rousseeuw and A. Leroy, Robust Regression & Outlier Detection. New York, NY: John Wiley & Sons, 1987.
13. D. Liu, P. Ning, and W. Du, "Attack-resistant location estimation in sensor networks," in Proceedings of International Symposium on Information Processing in Sensor Networks (IPSN), 2005, pp. 99- 106.
14. T. Roosta, M. Meingast, and S. Sastry, "Distributed reputation system for tracking applications in sensor networks," in International Workshop on Advances in Sensor Networks (IWASN), 2006.
15. M. Manzo, T. Roosta, and S. Sastry, "Time synchronization attacks in sensor networks," in Proceedings of the ACM workshop on Security of ad hoc and sensor networks (SASN), 2005, pp. 107-116.
16. A. Perrig, R. Szewczyk, V. Wen, D. Cullar, and J. Tygar, "Spins: Security protocols for sensor networks," in Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom), 2001, pp. 189-199.
17. J. Douceur, "The sybil attack," in Proceedings of the International Workshop on Peer-To-Peer Systems Workshop (IPTPS), 2002, pp. 251-260.
18. J. Feng, L. Girod, and M. Potkonjak, "Consistency-based on-line localization in sensor networks," in Proceedings of International Conference on Distributed Computing in Sensor Systems (DCOSS), 2006, pp. 529-545.
19. M. Evans, N. Hastings, and B. Peacock, Statistical Distributions. New York, NY: John Wiley and Sons, 2000.
20. E. Wilson and M. Hilferty, "The distribution of chisquare," in Proceedings of National Academy Science, USA, vol. 17, pp. 684-686, 1931.
21. P. Meer, D. Mintz, A. Rosenfeld, and D. Yoon-Kim, "Robust regression methods for computer vision: a review," International Journal of Computer Vision, vol. 6, no. 1, pp. 59-970, 1991.