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A Multiagent Solution to Adaptively Classify SOAP Message and Protect against DoS Attack.

Authors :
Pinzón, Cristian I.
De Paz, Juan F.
Bajo, Javier
Corchado, Juan M.
Source :
Current Topics in Artificial Intelligence (9783642142635); 2010, p181-190, 10p
Publication Year :
2010

Abstract

SOAP messages use XML code, which makes them vulnerable to denial of service (DoS) attacks and puts the availability of web services at risk. This article presents an adaptive solution for dealing with DoS attacks in web service environments. The solution proposes a distributed hierarchical multiagent architecture that implements a robust mechanism of classification based on an advanced CBR-BDI agent. The agent incorporates a case-based reasoning engine that integrate a Perceptron Multilayer neural network during the re-use phase to classify incoming SOAP messages and reject those that are considered malicious. A prototype of the architecture was developed and the results obtained are presented in this study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642142635
Database :
Complementary Index
Journal :
Current Topics in Artificial Intelligence (9783642142635)
Publication Type :
Book
Accession number :
76754912
Full Text :
https://doi.org/10.1007/978-3-642-14264-2_19