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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorSpruit, M.R.
dc.contributor.advisorBatenburg, R.S.
dc.contributor.advisorKlunder, A.
dc.contributor.advisorKnuiman, M.
dc.contributor.authorPeersman, J.J.
dc.date.accessioned2013-02-21T18:02:06Z
dc.date.available2013-02-21
dc.date.available2013-02-21T18:02:06Z
dc.date.issued2013
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/12616
dc.description.abstractThis thesis provides an answer to the question: How can proactive data mining of security events help prevent data breaches of credit card data in a PCI DSS compliant environment? The credit card environment is sketched and covers the three actors in a credit card transaction (Cardholder, Merchant and Banks). PCI-DD is discussed together with the various other standards created by the PCI Security Council. The concept data breach is elaborated on and 15 indicators are discussed which should notify a possible breach as early as possible. A method is created that consist of four steps (Identify Data, Map Indicators, Data Mining & Follow-up) that will assist organizations in preventing data breaches. Vulnerability management, by periodically performing vulnerability assessments is necessary for organizations to have a secure basis. An evaluation of the indicators and method concludes this research.
dc.description.sponsorshipUtrecht University
dc.format.extent1798126 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titlePreventing Data Breaches by Proactive Data Mining
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsData Breaches, Credit Card, Data Mining, Preventing, PCI-DSS, Payment Service Provider, Merchant
dc.subject.courseuuBusiness Informatics


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