文章基本信息

标题：RFID Detect Credit Card Skimmers Using Neural Networks
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作者：R. Dhanapal ; P. Gayathri
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：6
页码：761-765
出版社：TechScience Publications
摘要：In today’s technical world, the safety techniques are being attacked as we usually pay the money by using Credit card, Debit card. Although card skimming techniques are becoming increasingly sophisticated.. In this paper we discuss about skimming The act of using a skimmer to illegally collect data from the magnetic stripe of a credit, debit or ATM card. This information, copied onto another blank card's magnetic stripe, is then used by an identity thief to make purchases or withdraw cash in the name of the actual account holder .skimmers can take card holder information from Gas stations/Restuarants.RFID detect skimmers through RFID electromagnetic waves transmit the Parity bit of data that should be detect the error whether the card holder information such as credit card number ,expiry date and CVV are skimmed or not.it can be implement in Neural Networks , Matlab nftool can detect the error for card holder information encoded in binary format datas are transmit the parity whether if its odd or even parity and detect the error in parity bits.final we will give security for card holders to skimming using Triple- DES(Data Encryption Standard).Triple-DES encryption result analysis in Apache tom cat
关键词：Magnetic Stripe; Neural Networks; Skimming; ATM;RFID; TripleDES