Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture
Fecha de publicación
Springer Science + Business Media
Trends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 71, pp. 713-720.
This paper presents an improvement of the SCMAS architecture aimed at securing SQL-run databases. The main goal of such architecture is the detection and prevention of SQL injection attacks. The improvement consists in the incorporation of unsupervised projection models for the visual inspection of SQL traffic. Through the obtained projections, SQL injection queries can be identified and subsequent actions can be taken. The proposed approach has been tested on a real dataset, and the obtained results are shown.
978-3-642-12432-7 (Print) / 978-3-642-12433-4 (Online)
1867-5662 (Print) / 1867-5670 (Online)
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