Title :
Ontology-based distributed intrusion detection system
Author :
Abdoli, F. ; Kahani, M.
Author_Institution :
Ferdowsi Univ. of Mashhad, Mashhad, Iran
Abstract :
In this paper we discussed about utilizing methods and techniques of semantic web in the Intrusion Detection Systems. To extract semantic relations between computer attacks and intrusions in a Distributed Intrusion Detection System, we use ontology. Protege software is our selected software for building ontology. In addition, we utilized Jena framework to make interaction between MasterAgent and attacks ontology. Our Distributed Intrusion Detection System is a network which contains some IDSagents and a special MasterAgent. MasterAgent contains our proposed attacks ontology. Every time a IDSagent detects an attack or new suspected condition, it sends detection´s report for MasterAgent. Therefore, it can extract the semantic relationship among computer attacks and suspected situations in the network with proposed ontology. Finally, the experience shows that the pruposed system reduced the rate of false positive and false negative.
Keywords :
distributed processing; ontologies (artificial intelligence); security of data; semantic Web; MasterAgent; attacks ontology; computer attacks; ontology-based distributed intrusion detection system; semantic Web; Computer crime; Computer networks; Computer security; Data models; Distributed computing; Information security; Intrusion detection; Logic; Ontologies; Semantic Web; Denial of Service attack; Intrusion Detection System; Ontology;
Conference_Titel :
Computer Conference, 2009. CSICC 2009. 14th International CSI
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-4261-4
Electronic_ISBN :
978-1-4244-4262-1
DOI :
10.1109/CSICC.2009.5349372