Detecting greedy behaviors by linear regression in wireless ad hoc networks

IEEE International Conference on Communications

Volumn , Issue , 2009, Pages

  Hamieh, Ali ^a   Ben Othman, Jalel ^a   Gueroui, Abdelhak ^a   Naït Abdesselam, Farid ^b  

^a UNIVERSITY OF VERSAILLES   (France)

^b UMR National Center for Scientific Research   (France)

Author keywords

Ad hoc networks; Greedy behavior; IEEE 802.11 MAC protocol; Linear regression

Indexed keywords

ACCESS TIME; CHANNEL ACCESS; CSMA/CA; DETECTION MODELS; GREEDY BEHAVIOR; IEEE 802.11 MAC PROTOCOL; IEEE 802.11 MAC PROTOCOLS; IEEE 802.11 TECHNOLOGY; MISBEHAVING NODES; MODEL-BASED; WAITING-TIME;

LINEAR REGRESSION; NETWORK PROTOCOLS; SIMULATORS; STANDARDS; WIRELESS AD HOC NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

AD HOC NETWORKS;

EID: 70449476931     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2009.5198908     Document Type: Conference Paper

References (18)

1. Raya M, Aad I, Hubaux J-P, and Elfawal A. 2006. DOMINO: Detecting MAC layer Greedy behavior in IEEE 802.11 hotspots. IEEE Transactions on Mobile Computing (TMC), 5(12).
2. Raya M, Hubaux J-P, and Aad I. 2004. DOMINO: A System to Detect Greedy Behavior in IEEE 802.11 Hotspots. In Proc. of MOBISYS'04.
3. Kyasanur P, Vaidya N. Detection and handling of MAC layer misbehavior in wireless networks. 2003. In Dependable Systems and Networks.
4. Gupta V, Krishnamurthy S, and Faloutsos M. 2002. Denial of service attacks at the mac layer in wireless ad hoc networks. In Proc. IEEE MILCOM.
5. Cárdenas A, Radosavac S, Baras J-S. 2004. Detection and prevention of MAC layer misbehavior for ad hoc networks. In Proc. of SASN.
6. Fall K, Varadhan K. 2003. ns notes and documentation. UC Berkeley, LBL, USC/ISI, Xerox PARC.
7. Dodge Y, Rousson V. 2004. Analyse de régression appliqué, Dunod.
8. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. 1997. IEEE standards 802.11.
9. Konorski J. 2001. Protection of Fairness for Multimedia Traffic Streams in a Non-cooperativeWireless LAN Setting. In PROMS, volume 2213 of LNCS.
10. Konorski J. 2002. Multiple Access in Ad-Hoc Wireless LANs with Noncooperative Stations. In NETWORKING, volume 2345 of LNCS.
11. Mackenzie A, Wicker S. 200. Game Theory and the Design of Self-Configuring. Adaptive Wireless Networks. IEEE Communications Magazine, 39(11):126 131.
12. MacKenzie A, Wicker S. 2003. Stability of Multipacket Slotted Aloha with Selfish Users and Perfect Information. In Proc. of Infocom 2003, San Francisco, CA, IEEE.
13. D. Burroughs D, L. Wilson L, and G. Cybenko G. 2002. Analysis of Distributed Intrusion Detection Systems Using Bayesian Methods. In Proc. of IEEE International Performance Computing and Communication Conference.
14. Goseva-Popstojanova K, Wang F, Wang R, Gong F, Vaidyanathan K, Trivedi K, and Muthusamy B. 2001. Characterizing Intrusion Tolerant Systems using a State Transition Model. In Proc. of DARPA Information Survivability Conference and Exposition II (DISCEX01).
15. Sanders W, Cukier M, Webber F, Pal P, and Watro R. 2002. Probabilistic Validation of Intrusion Tolerance. In Digest of Fast Abstracts: The International Conference on Dependable Systems and Networks, Bethesda, Maryland.
16. Jardosh A, Ramachandran K, Almeroth K, and Royer E. 2005. Understanding congestion in IEEE 802.1 lb wireless networks. In Proc. of the 2005 Internet Measurement Conference, (Berkeley, CA, USA), pp. 279-292.
17. Buchegger S, Le Boudec J. 2002. Nodes bearing grudges: Towards routing security, fairness, and robustness in mobile ad hoc networks. In Proc. of Tenth Euromicro PDP, Gran Canaria, pp. 403 410.
18. Buchegger S, Le Boudec J-Y. 2002. Performance analysis of the confidant protocol. In Proc. of the 3rd ACM international symposium on Mobile ad hoc networking computing, pp. 226236.