Timeout Period Analysis to Detect Black Hole Attack in Multihop Wireless Ad Hoc Networks

Timeout Period Analysis to Detect Black Hole Attack in Multihop Wireless Ad Hoc Networks A novel approach is proposed to estimate the timeout period used in wireless ad hoc networks in order to detect misbehaving nodes that make black hole attacks. Timeout period is an acceptable time frame for a node to forward a packet and is used to judge if the node is behaving properly. To avoid misjudgment and false alarms, the accuracy of the estimate of the timeout period is very important. Our method is based on the IEEE 802.11 MAC protocol and Dynamic Source Routing protocol. The main contribution of this paper is proposing a queuing analysis to calculate the mean and maximum delay per hop implementing the 95-percentile of medium access waiting time. In addition, a new technique is introduced that can be applied to determine the mean number of hops in flooding-based ad hoc networks, taking into account edge effects. For each proposed model, analytical results are compared with results obtained from simulations and the validity of the models is confirmed by observing the close relationship between the results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Wireless Information Networks Springer Journals

Timeout Period Analysis to Detect Black Hole Attack in Multihop Wireless Ad Hoc Networks

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Electrical Engineering
ISSN
1068-9605
eISSN
1572-8129
D.O.I.
10.1007/s10776-017-0370-3
Publisher site
See Article on Publisher Site

Abstract

A novel approach is proposed to estimate the timeout period used in wireless ad hoc networks in order to detect misbehaving nodes that make black hole attacks. Timeout period is an acceptable time frame for a node to forward a packet and is used to judge if the node is behaving properly. To avoid misjudgment and false alarms, the accuracy of the estimate of the timeout period is very important. Our method is based on the IEEE 802.11 MAC protocol and Dynamic Source Routing protocol. The main contribution of this paper is proposing a queuing analysis to calculate the mean and maximum delay per hop implementing the 95-percentile of medium access waiting time. In addition, a new technique is introduced that can be applied to determine the mean number of hops in flooding-based ad hoc networks, taking into account edge effects. For each proposed model, analytical results are compared with results obtained from simulations and the validity of the models is confirmed by observing the close relationship between the results.

Journal

International Journal of Wireless Information NetworksSpringer Journals

Published: Sep 12, 2017

References

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