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Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture

dc.contributor.authorHerrero, Álvaro
dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorCorchado, Emilio
dc.contributor.authorBajo, Javier
dc.date.accessioned2018-06-07T18:21:37Z
dc.date.accessioned2018-06-07T18:21:37Z
dc.date.available2018-06-07T18:21:37Z
dc.date.available2018-06-07T18:21:37Z
dc.date.issued2010-07-02
dc.date.issued2010-07-02
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4883
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4883
dc.descriptionThis 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.en_US
dc.description.abstractThis 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.en_US
dc.formatapplication/pdf
dc.languageeng
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMultiagent System for Securityen_US
dc.subjectNeural Projection Modelsen_US
dc.subjectUnsupervised Learningen_US
dc.subjectDatabase Securityen_US
dc.subjectSQL Injection Attacksen_US
dc.subjectMultiagent System for Security
dc.subjectNeural Projection Models
dc.subjectUnsupervised Learning
dc.subjectDatabase Security
dc.subjectSQL Injection Attacks
dc.titleUnsupervised Visualization of SQL Attacks by Means of the SCMAS Architectureen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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