Title :
Attacks prevention model using semantic correlation and multiagent systems
Author :
Isaza, Gustavo ; Duque, Néstor ; Castillo, Luís ; López, Marcelo
Author_Institution :
Dept. of Syst. & Inf., Caldas Univ., Caldas, Colombia
Abstract :
The attacks detection and prevention problem could be improved using new intelligent techniques. This paper aims to define an ontology model for intrusion correlation over intelligent multiagent system. The semantic model describes attacks signatures, reaction rules, axioms with alerts communication and correlation. The proposed model optimizes the alerts correlation process providing the inference and reasoning to the ontology model.
Keywords :
inference mechanisms; multi-agent systems; ontologies (artificial intelligence); security of data; attack axiom alert comunication; attack axiom alert correlation; attack detection; attack reaction rules; attack signatures; attacks prevention model; intrusion correlation model; multi-agent system; ontology inference; ontology model; ontology reasoning; semantic correlation; Computational modeling; Correlation; Intrusion detection; OWL; Ontologies; Semantics; XML; Alert Correlation; Intrusion Detection; Intrusion Prevention; Ontology; Semantic Attacks; Semantic IDS;
Conference_Titel :
Computing Congress (CCC), 2011 6th Colombian
Conference_Location :
Manizales
Print_ISBN :
978-1-4577-0285-3
DOI :
10.1109/COLOMCC.2011.5936317
