Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture

Authors: Herrero, Álvaro; Pinzón Trejos, Cristian; Corchado, Emilio; Bajo, Javier

Description: 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.
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.

Topic: Multiagent System for Security
Neural Projection Models
Unsupervised Learning
Database Security
SQL Injection Attacks
Multiagent System for Security
Neural Projection Models
Unsupervised Learning
Database Security
SQL Injection Attacks