RT info:eu-repo/semantics/article
T1 AIDeM: Agent-Based Intrusion Detection Mechanism
A1 Pinzón, Cristian
A1 Navarro, Martí
A1 Bajo Pérez, Javier
K1 Computer Science
AB The availability of services can be comprimised if a service request sent to the web services server hides some form of attack within its contents. This article presents AIDeM (An Agent-Based Intrusion Detection Mechanism), an adaptive solution for dealing with DoS attacks in Web service environments. The solution proposes a two phased mechanism in which each phase incorporates a special type of CBR-BDI agent that functions as a classifier. In the first phase, a case-based reasoning (CBR) engine utilizes a Naïves Bayes strategy to carry out an initial filter, and in the second phase, a CBR engine incorporates a neural network to complete the classification mechanism. AIDeM has been applied within the FUSION@ architecture to improve its current security mechanism. A prototype of the architecture was developed and applied to a case study. The results obtained are presented in this study.
PB Springer Science + Business Media
SN 978-3-642-12432-7 (Print) / 978-3-642-12433-4 (Online)
SN 1867-5662 (Print) / 1867-5670 (Online)
YR 2010
FD 2010
LK http://hdl.handle.net/10366/134923
UL http://hdl.handle.net/10366/134923
LA en
NO Trends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing.  Advances in Intelligent and Soft Computing. Volumen 71, pp. 347-354.
DS Gestión del Repositorio Documental de la Universidad de Salamanca
RD 23-abr-2024