By Topic

Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Dayong Ye ; Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW ; Quan Bai ; Minjie Zhang

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.

Published in:

Network and Parallel Computing, 2008. NPC 2008. IFIP International Conference on

Date of Conference:

18-21 Oct. 2008