2024-03-28T18:07:10Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1344112024-03-13T09:52:59Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Gestión del Repositorio Documental de la Universidad de Salamanca
author
Bajo Pérez, Javier
author
Corchado Rodríguez, Juan Manuel
author
Pinzón, Cristian
author
de Paz Santana, Yanira
author
Pérez Lancho, María Belén
2017-09-05T11:01:59Z
2017-09-05T11:01:59Z
2010
International Journal of Innovative Computing, Information and Control (IJICIC). Volumen 6 (9), pp. 3787-3818. ICIC International.
1349-4198
http://www.ijicic.org/09-0215-1.pdf
One of the main attacks on databases is the SQL injection attack which causes severe damage both in the commercial aspect and the confidence of users. This paper presents a novel strategy for detecting and preventing SQL injection attacks consisting of a multi-agent based architecture called SCMAS. The SCMAS architecture is structured in hierarchical layers and incorporates SQLCBR agents with improved learning and adaptation capabilities. The SQLCBR agents presented within this paper have been specifically designed to classify SQL injection attacks and to predict the behaviour of malicious users. These agents incorporate a new technique based on a mixture of neural networks and a technique based on a temporal series. This paper begins with a detailed explanation of the SCMAS architecture and the SQLCBR agents. The results of their application to a case study are then presented and discussed.
en
Attribution-NonCommercial-NoDerivs 3.0 Unported
Computer Science
SCMAS: A Distributed Hierarchical Multi-agent Architecture for Blocking Attacks to Databases
info:eu-repo/semantics/article
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09-0215-1.pdf.txt