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Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture
dc.contributor.authorHerrero Cosío, Álvaro
dc.contributor.authorPinzón, Cristian
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorBajo Pérez, Javier
dc.date.accessioned2017-09-06T09:14:55Z
dc.date.available2017-09-06T09:14:55Z
dc.date.issued2010
dc.identifier.citationTrends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 71, pp. 713-720.
dc.identifier.isbn978-3-642-12432-7 (Print) / 978-3-642-12433-4 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134926
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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleUnsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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