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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書誌詳細

第一著者:	Herrero, Álvaro (author)
その他の著者:	Pinzón Trejos, Cristian (author), Corchado, Emilio (author), Bajo, Javier (author)
フォーマット:	article
言語:	英語
出版事項:	2010
主題:	Multiagent System for Security Neural Projection Models Unsupervised Learning Database Security SQL Injection Attacks
オンライン･アクセス:	http://ridda2.utp.ac.pa/handle/123456789/4883
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