Abstract
The nature of mobile ad hoc network (MANETs) makes them vulnerable to security attacks. Intrusion detection is a vital secure scheme for wireless mobile ad hoc networks (MANETs). However, the generalizing ability of current IDS is poor when given less priori knowledge, and a centralized intrusion detection network security solution does not work well in MANETs. In this paper we discuss the characters of security issues in ad hoc networks and propose a Support Vector Machine (SVM) based distributed hierarchical intrusion detection system that adapt to the characters of current ad hoc networks. Performance evaluations based on simulation experiment manifested our proposed approach is efficient and effective.
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References
IETF: Mobile and Ad Hoc Networks Charter (2004), http://www.ietf.org/html.charters/manetcharter.html
Zhou, L., Haas, Z.J.: Securing Ad Hoc Networks. IEEE Network Magazine 13, 24–30 (1999)
Zhang, Y., L., W.: Intrusion Detection in Wireless Ad Hoc Networks. In: Proceeding of the 6th International Conference on Mobile Computing and Networking (MobiCom 2000), Boston, Massachusetts, vol. 8, pp. 275–283 (2000)
Vapnik, V.: Statistical Learning Theory. Springer, Heidelberg (1998)
Andrew, H., Sung, S.: Mukkamala: Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. In: Proceedings of the 2003 Symposium on Applications and the Internet (2003)
The Network Simulator. NS2, http://www.isi.edu/nsnam/ns/
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Fu, P., Zhang, D., Wang, L., Duan, Z. (2005). Intelligent Hierarchical Intrusion Detection System for Secure Wireless Ad Hoc Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_78
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DOI: https://doi.org/10.1007/11427469_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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