Intelligent hierarchical intrusion detection system for secure wireless ad hoc network

Authors:
Peng Fu;Deyun Zhang;Lei Wang;Zhongxing Duan
Affiliations:
Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

Citing 2
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Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks

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Securing ad hoc networks

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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.