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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...

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Main Author: Herrero, Álvaro (author)
Other Authors: Pinzón Trejos, Cristian (author), Corchado, Emilio (author), Bajo, Javier (author)
Format: article
Language:English
Published: 2010
Subjects:
Multiagent System for Security
Neural Projection Models
Unsupervised Learning
Database Security
SQL Injection Attacks
Online Access:http://ridda2.utp.ac.pa/handle/123456789/4883
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http://ridda2.utp.ac.pa/handle/123456789/4883

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