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Ontology-based knowledge representation for a P2P multi-agent distributed intrusion detection system


Ye, D and Bai, Q and Zhang, M, Ontology-based knowledge representation for a P2P multi-agent distributed intrusion detection system, Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing, 18-21 October 2008, Shanghai, China, pp. 111-118. ISBN 9780769533544 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 IEEE

DOI: doi:10.1109/NPC.2008.8


Many research efforts on application of ontology in network security have been done in the past decade. However, they mostly stop at initial proposal or focus on framework design without detailed representation of intrusion or attack and relevant detection knowledge with ontology. In this paper, the design and implementation of Ontology-Based Knowledge Representation for a Peer-to-Peer Multi-Agent Distributed Intrusion Detection System (Ontology-Based MADIDS) are introduced. An example which demonstrates the representation of an attack with ontology and the relevant detection process is also presented. In Ontology-Based MADIDS, ontology technique enables peers in the system and agents in one peer to share common understanding of information. In addition, benefited from agent technology and P2P architecture, agents in Ontology-Based MADIDS not only detect attacks on a single host but also in a distributed domain. These features make the Ontology-Based MADIDS more flexible and robust.

Item Details

Item Type:Refereed Conference Paper
Keywords:ontology, multi-agent, peer-to-peer, intrusion detection
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:140723
Year Published:2008
Web of Science® Times Cited:1
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-12-18

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