Paper Info
Title
Towards Ontology-Based Intelligent Model for Intrusion Detection and Prevention.
Abstract
Nowadays new intelligent techniques have been used to improve the intrusion detection process in distributed environments. This paper presents an approach to define an ontology model for representing intrusion detection and prevention events as well as a hybrid intelligent system based on clustering and Artificial Neuronal Networks for classification and pattern recognition. We have specified attacks signatures, reaction rules, asserts, axioms using Ontology Web Language with Description Logic (OWL-DL) with event communication and correlation integrated on Multi-Agent Systems. incorporating supervised and unsupervised models and generating intelligent reasoning.
Year
DOI
Venue
2009
10.1007/978-3-642-04091-7_14
COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS
Keywords
Field
DocType
Ontology,Intelligence Security,Intrusion Prevention,Multi-agent systems
Ontology,Data mining,Axiom,Computer science,Description logic,Anomaly-based intrusion detection system,Multi-agent system,Hybrid intelligent system,Artificial intelligence,Cluster analysis,Intrusion detection system,Machine learning
Conference
Volume
ISSN
Citations 
63
1867-5662
13
PageRank 
References 
Authors
0.97
13
4
Name
Order
Citations
PageRank
Gustavo A. Isaza1246.05
Andrés Castillo2273.41
Manuel López3130.97
Luis Fernando Castillo4587.75