Timeout Misbehavior Detection Algorithm: a Novel Method for the Detection of MANET Misbehavior


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Abstract


The performance of the mobile ad hoc network is subject to degradation in the presence of misbehaving nodes, due to the timeout misbehavior of the MAC layer. In order to rectify this drawback, the Timeout Misbehavior Detection Algorithm (TMDA) is proposed. The RTS frame adds an additional field called TimeOut Bit (TOB), which gives the information about whether the particular node is misbehaving or not. According to that, the detection and correction procedure has been carried out. The proposed method minimizes the throughput degradation, jitter, frame delay and increases the frame delivery ratio.
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Keywords


MANET; Timeout Misbehavior; TMDA Algorithm; Misbehavior Detection; Throughput Improvement

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References


Kok Seng Ting, Gee Keng Ee, Chee Kyun Ng, Nor Kamariah Noordin and Borhanuddin Mohd. Ali, The Performance Evaluation of IEEE 802.11 against IEEE 802.15.4 with Low Transmission Power, 17th Asia-Pacific Conference on Communications, APCC (Page: 850- 855, Malaysia, October 2011, Avaliable:http://dx.doi.10.1109/APCC.2011.6152927).

R. Kalaiarasi, Getsy S. Sara S. Neelavathy Pari and D. Sridharan, Performance Analysis of Contention Window Cheating Misbehaviors in Mobile Ad hoc Networks, International journal of computer science & information Technology (IJCSIT) Vol.2, no.5, pp. 31-42, 2010.

S. Priyadarsini and Umashankar S, TSRD-RL Algorithm Based Secured Route Discovery for MANET with Improved Route Lifetime, (2012) International Review on Computers and Software (IRECOS), 7 (2), pp. 499-504.

Ghazale Hosseinabadi and Nitin Vaidya, Selfish Misbehavior in Scheduling Algorithms of Wireless Networks, IEEE 29th International Conference on Performance Computing and Communications Conference , IPCCC, (Page 214 - 221, 2010, Avaliable:http://dx.doi.10.1109/PCCC.2010.5682306).

Nidal A. Al-Dmour, Studying the Impact of DIFS on the QoS Parameters for Wireless Networks, (2011) International Review on Computers and Software (IRECOS), 6 (3), pp. 384-388.

Somkiat Pornchaiwiwat and Watit Benjapolakul, Coordinate Assigning Contention Window in Ad Hoc Network, 2006 IEEE Region 10 Conference, (Page 1-4, Nov.2006, ,Avaliable:http://dx.doi.10.1109/TENCON.2006.343780).

Ting-Yu Lin, Ching-Yi Tsai, and Kun-Ru Wu, EARC: Enhanced Adaptation of Link Rate and Contention Window for IEEE 802.11 Multi-Rate Wireless Networks, IEEE Transactions on Communications, Vol. 60, no. 9, pp. 2623-2634, 2012.

M. Raya, J.P. Hubaux, I. Aad, DOMINO: a system to detect greedy behavior in ieee 802.11 hotspots, in: Proc. of ACM MobiSys, June, 2004.

Lei Guang, ChadiAssi,Yinghua Ye, DREAM: A system for detection and reaction against MAC layer misbehavior in ad hoc networks, Computer Communications, Vol. 30, no.8, pp. 1841–1853, 2007.

V. N. Lolla,L. K. Law, S. V. Krishnamoorthy, C. Ravishankar, and D. Manjunath, Detecting MAC layer back-off time violations in mobile ad hoc networks, 26th IEEE International Conference on Distributed Computing Systems, ICDCS, (Page: 63, 2006, Avaliable:http://dx.doi>10.1109/ICDCS.2006.28).

S. Radosavac, J. Baras and I. Koutsopoulos, A frame work for MAC protocol misbehavior detection in wireless networks, Proceedings of ACM workshop on wireless security, (Page: 33-42, 2005, Avaliable:http://dx.doi>10.1145/1080793.1080801).

Alberto Lopez Toledo and Xiaodong Wang, A Robust Kolmogorov-Smirnov Detector for Misbehavior in IEEE 802.11 DCF, IEEE International Conference on Communications ICC, (Page: 1564-1569, 2007).

Toledo and X. Wang, Robust Detection of Selfish Misbehavior in Wireless Networks, IEEE Journal on Selected Areas in Communication, Vol. 25, no. 6, pp. 1124-1134, 2007.

Utpal Paul, Anand Kashyap, Ritesh Maheshwari and Samir R. Das, Passive Measurment of Interference in WiFi Networks with Application in Misbehavior Detection, IEEE Transactions on Mobile Computing, no. 99, pp. 1.

The Network Simulator ns-2, http://www.isi.edu/nsnam/ns/,2006.

Charles E. Perkins and Elizabeth M. Royer, Ad hoc On-Demand Distance Vector Routing, Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, (Page 90-100, February 1999).

Ahmed Riza, Ling Teck Chaw, Phang Keat Keong and Hoh Kian Pee, Improving QOS In WLAN Using Dynamic Weighted Fair Scheduling, Malaysian Journal of Computer Science, Vol. 23, no.2, pp 85-101, 2010.

Antonis Athanasopoulos, EvangelosTopalis, Christos Antonopoulos, Stavros Koubias, Evaluation Analysis of the Performance of IEEE 802.11b and IEEE 802.11g Standards, Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, ICNICONSMCL, (Page: 141, April 2006, Avaliable:http://dx.doi>10.1109/ICNICONSMCL.2006.92).

P. Raptis , V. Vitsas and K. Paparrizos, Packet Delay Metrics for IEEE 802.11 DistributedCoordination Function, Mobile Networks and Applications, Vol. 14, no. 6, pp.772-781, 2009.

Noor M. Asraf, Raja N. Ainon and Phang Keat Keong, QoS Parameter Optimization using Multi-Objective Genetic Algorithm in MANETs, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, (Page: 138- 143, 2010, Available: http://dx.doi. 10.1109/AMS.2010.40).

Lei Guang and Chadi Assi, A Self-Adaptive Detection System for MAC Misbehavior in Ad Hoc Networks, IEEE International Conference on Communications, ICC, (Page: 3682- 3687, vol. 8, 2006, Avaliable:http://dx.doi.10.1109/ICC.2006.255644).


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