Deliberative Agents for Intrusion Detection.

Título

dc.contributor.author	Herrero Cosío, Álvaro
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.contributor.author	Pellicer Figueras, María A.
dc.contributor.author	Abraham, Ajith P.
dc.date.accessioned	2017-09-06T09:05:02Z
dc.date.available	2017-09-06T09:05:02Z
dc.date.issued	2007
dc.identifier.citation	Artificial Intelligence and its Applications: From Theory to Practice. pp. 157-166.
dc.identifier.uri	http://hdl.handle.net/10366/134499
dc.description.abstract	This work describes a multiagent system incorporating some artificial intelligence techniques for intrusion detection. The proposed Intrusion Detection System (IDS) provides a network administrator with a comprehensive visualization of the network traffic. Thus, the network manager can supervise the network activity and detect anomalies at a glance. This paper describes the structure of the Mobile Visualization Connectionist Agent-Based IDS (MOVICAB-IDS). The system includes deliberative agents using a connectionist model to identify intrusions in computer networks. Some experiments dealing with anomalous situations related to the Simple Network Management Protocol are described.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.subject	Computer Science
dc.title	Deliberative Agents for Intrusion Detection.
dc.type	info:eu-repo/semantics/bookPart
dc.rights.accessRights	info:eu-repo/semantics/openAccess