DREAM: A system for detection and reaction against MAC layer misbehavior in ad hoc networks

Li, Guang; Assi, Chadi; Ye, Yinghua

doi:10.1016/j.comcom.2007.02.014

Cited by 16 publications

(13 citation statements)

References 16 publications

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“…Most reaction schemes employed by genuine nodes attempt to penalize [4] or isolate, Guang et al [3] isolate the selfish node. [5] suggests that isolation of misbehaving nodes is not the best reaction, as it affects performance at the network and the higher layers, as greater number of nodes get isolated.…”

Section: Motivationmentioning

confidence: 99%

“…Guang et al [5] discuss the transmission time out of MAC frames due to the selfish behavior either at the receiver or the sender. They propose a novel detection and reaction system detection and reaction to mac layer misbehavior (DREAM).…”

Section: Previous Workmentioning

confidence: 99%

“…Other schemes employ throughput degradation [2] or access point-based adaptive mechanism [3] to detect presence of misbehavior. Kyassanur and Vaidya in [4] introduce the concept of receiver-assigned backoff, and Guang et al [5] propose modifications to the BEB algorithm in order to facilitate easy detection and penalization of the misbehaving sender.…”

Section: Previous Workmentioning

confidence: 99%

“…The objective of the malicious misbehavior would be to disrupt the normal network behavior using jamming, denial-of-service attacks, or non-cooperation with respect to data forwarding [5].…”

Section: Mac Layer Misbehaviormentioning

confidence: 99%

“…6 This is done to verify that T g from the analysis closely matches that of the simulations. From 5 Threshold is set to 80% of T g in simulations. 6 In both NS-2 and OPNET simulations, the traffic rate configured on the 2 Mbps channel is 3.68 Mb/s and on the 1 Mbps channel is 1.84 Mb/s, which is saturated traffic in the respective scenarios.…”

Section: Comparison Of Opnet and Ns-2mentioning

confidence: 99%

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MAC layer misbehavior effectiveness and collective aggressive reaction approach

Giri

Jaggi

2010

2010 IEEE Sarnoff Symposium

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I would like to thank my research advisor, Dr. Neeraj Jaggi, for his constant support and guidance. Working under him was a priceless learning experience, which helped me understand the importance of precision and presentation in research.Apart from academics, he has also been a motivational figure for me, and has truly influenced me in many ways, for which I will always be grateful. I am heartily thankful to Umesh Marappa In addition, it is also observed that the performance gains achieved using misbehavior exhibit diminishing returns with respect to its aggressiveness, for all types of misbehaviors considered.Crucial common characteristics among such misbehaviors are identified, and these learnings are used to design an effective measure to react towards such misbehaviors.Employing two of the most effective misbehaviors, it is shown that collective aggressiveness of non-selfish nodes is a possible strategy to react towards selfish misbehavior. Particularly, a dynamic collective aggressive reaction approach is demonstrated to ensure fairness in the network, however at the expense of overall network throughput degradation. In addition, the proposed adaptive reaction strategy provides the necessary disincentive to prevent selfish misbehavior in the network.vi

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Section: Motivationmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Section: Mac Layer Misbehaviormentioning

confidence: 99%

Section: Comparison Of Opnet and Ns-2mentioning

confidence: 99%

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MAC layer misbehavior effectiveness and collective aggressive reaction approach

Giri

Jaggi

2010

2010 IEEE Sarnoff Symposium

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The future of security in Wireless Multimedia Sensor Networks

et al. 2009

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This is a position paper on our views on security aspects of Wireless Multimedia Sensor Networks (Secure WMSNs). It is meant to serve as a brief survey. But, more importantly, it gives a perspective on how we foresee the future of this research area, its main challenges, and its future trends. We believe that this paper will spur new discussions and research ideas among the researchers from both the industry and the academic world.

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