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2011 IEEE 12th International Conference on Mobile Data Management (2011)
Lulea, Sweden
June 6, 2011 to June 9, 2011
ISBN: 978-0-7695-4436-6
pp: 291-292
Mobile Ad-hoc Networks (MANETs) are extremely susceptible to various misbehaviors and a variety of trust management schemes have been proposed to detect and mitigate them. Most schemes rely on a set of pre-defined weights to determine how the extent of each misbehavior is used to evaluate the trustworthiness. However, due to the extremely dynamic nature of MANETs, it is not possible to determine a set of weights that are appropriate for all contexts. In this paper, an Automated Trust Management (ATM) system is described for MANETs that uses a support vector machine classifier to detect malicious MANET nodes. The ATM scheme is resilient to attempts by a malicious MANET node to hide its nature by varying its misbehavior patterns over time. The performance of the ATM scheme is evaluated via an extensive simulation study and compared with existing approaches.
security, trust management, mobile ad hoc network, support vector machine

W. Li, A. Joshi and T. Finin, "ATM: Automated Trust Management for Mobile Ad Hoc Networks Using Support Vector Machine," 2011 12th IEEE International Conference on Mobile Data Management (MDM 2011)(MDM), Lulea, 2011, pp. 291-292.
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