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P2P distributed intrusion detections by using mobile agents

Citation

Ye, D and Bai, Q and Zhang, M and Ye, Z, P2P distributed intrusion detections by using mobile agents, Proceedings of the 7th International Conference on Computer and Information Science (ICIS 2008), 14-16 May 2008, Portland, Oregon, pp. 259-265. ISBN 9780769531311 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 IEEE

DOI: doi:10.1109/ICIS.2008.21

Abstract

Traditional hierarchical intrusion detection systems have a central manager which attracts hackers to attack and might overload when there are too many client requests. To overcome these drawbacks, some researchers suggested to apply Peer-to-Peer approaches in intrusion detection. Most current Peer-to-Peer intrusion detection systems only allow hosts to collect related information from "neighbours " (one hop hosts). The limitation of information sources may lead a system to make inaccurate decisions. In this paper, we propose a Mobile Agent Based Peer-to-Peer Distributed Intrusion Detection Framework. Agents are included in this framework to achieve intrusion detections. In addition, a mobile agent migration strategy is applied in the framework to allow agents not only to collect information from direct-linked "neighbours " but also other hosts in the network. Benefitted from agent and Peer-to-Peer techniques, our framework can decrease the overhead of each host in the network, reduce the security risk, and achieve more accurate detections.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140724
Year Published:2008
Web of Science® Times Cited:10
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18
Downloads:0

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