Open AccessCredit Card Fraud Detection using Machine Learning: A Systematic Literature Review
Author(s) -
Harish Paruchuri
Publication year - 2017
Publication title -
abc journal of advanced research
Language(s) - English
Resource type - Journals
eISSN - 2312-203X
pISSN - 2304-2621
DOI - 10.18034/abcjar.v6i2.547
Subject(s) - credit card , database transaction , business , computer security , credit card fraud , block (permutation group theory) , computer science , internet privacy , world wide web , database , geometry , mathematics , payment
Companies want to give more and more facilities to their customers. One of these facilities is the online mode of buying goods. The customers now can buy the required goods online but this is also an opportunity for criminals to do frauds. The criminals can theft the information of any cardholder and use it for online purchases until the cardholder contacts the bank to block the card. This paper shows the different algorithms of machine learning that are used for detecting this kind of transaction.