2024-03-28T09:33:03Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1349272022-02-07T15:35:57Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
Pinzón, Cristian
Paz Santana, Juan Francisco de
Zato Domínguez, Davinia Carolina
Bajo Pérez, Javier
2017-09-06T09:14:55Z
2017-09-06T09:14:55Z
2010/06
Hybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 6076, pp. 229-236.
978-3-642-13768-6 (Print) / 978-3-642-13769-3 (Online)
0302-9743 (Print) / 1611-3349 (Online)
http://hdl.handle.net/10366/134927
The real-time detection is a key factor to detect and block DoS attacks within Web services. DoS attacks can be generated for different techniques that take advantage of points vulnerable within Web services. This paper describes a novel proposal based on a real time agent to classify user requests and detect and block malicious SOAP messages. The classification mechanism is based on a Case-Base Reasoning (CBR) model, where the different CBR phases are time bounded. Within the reuse phase of the CBR cycle is incorporated a mixture of experts to choose the most suitable technique of classification depending on the feature of the attack and the available time to solve the classification. A prototype of the architecture was developed and the results obtained are presented in this study.
application/pdf
en
Springer Science + Business Media
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Computer Science
Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach
info:eu-repo/semantics/article