Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture

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.

• Type: Journal
• Year: 2010
• Where: PAAMS
• Authors: Álvaro Herrero, Cristian Pinzón, Emilio Corchado, Javier Bajo
• Keywords: Intelligent Agents, PAAMS 2010, SQL Injection, SQL Injection Attacks, Unsupervised Projection Models