Paper Info
Title
Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System
Abstract
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.
Year
DOI
Venue
2008
10.1109/NPC.2008.8
NPC Workshops
Keywords
Field
DocType
ontology-based knowledge representation,ontology-based madids,intrusion detection system,p2p architecture,p2p multi-agent,ontology technique,framework design,detailed representation,peer-to-peer multi-agent,relevant detection process,relevant detection knowledge,p2p,ontology,multi agent systems,knowledge representation,network security,intrusion,agent,ontologies,security,system,representation,intrusion detection,knowledge
Ontology (information science),Ontology-based data integration,Data mining,Ontology,Ontology alignment,Knowledge representation and reasoning,Information retrieval,Process ontology,Computer science,OWL-S,Suggested Upper Merged Ontology,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.36
6
Authors
3
Name
Order
Citations
PageRank
Dayong Ye124818.82
Quan Bai2285.67
Minjie Zhang325530.01