DETECTION AND PREVENTION OF FRAUDULENT IN USING CREDIT CARD

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dc.contributor.authorJ, Maria Shyla
dc.date.accessioned2020-12-28T05:42:38Z
dc.date.available2020-12-28T05:42:38Z
dc.date.issued2014-01-09
dc.description.abstractCredit card transactions happen at every moment all over the world. People do their financial transactions using credit card either in online or offline. In the mean time frauds associated with it are also rising. Fraud detection involves monitoring the behavior of users in order to estimate, detect or avoid unwanted behavior .In this paper, it is shown that credit card fraud that can be detected effectively using Hidden Markov Model (HMM). HMM could be trained with Hybrid Baum-Welch and Viterbi algorithms for better efficiency in detection.en_US
dc.identifier.isbn9780989425445
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/2400
dc.language.isoenen_US
dc.publisherCoimbatore Institute of Information Technology./ PSGR Krishnammal College for Women, Coimbatoreen_US
dc.subjectHMMen_US
dc.subjectFraudulenten_US
dc.subjectBaum-Welchen_US
dc.subjectViterbien_US
dc.titleDETECTION AND PREVENTION OF FRAUDULENT IN USING CREDIT CARDen_US
dc.title.alternativeNational Conference on Cyber Securityen_US
dc.typeBooken_US

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