Analysis Of Optimization Techniques For Credit Card Fraud Detection

Analysis Of Optimization Techniques For Credit Card Fraud Detection
Author(s):
Shikhar Agrahari, Arun Kumar , Tanu, Abhinay Patel, Abhinav Chauhan, Mrs. Meenu Sharma
Keywords:
Smart Computers, Credit Card Fraud, Working Together, Privacy, New Idea.
Abstract
In Today’s scenario where we are promoting and going cashless to protect our cash currency from thefts. We are using credit cards and other online transaction methods. Now thefts and criminals find new ways to stole our money by doing fraud from our credit cards. To minimize these frauds we use computer programs that can learn from data to help catch fraud and aware the users from it. In our study, we looked at different ways to use these computer programs to find fraud and keep people's information safe. This review paper provides a comprehensive overview of the current state of credit card fraud detection techniques. It examines the various machine learning approaches used to identify and mitigate fraudulent credit card transactions, including supervised and unsupervised learning algorithms, as well as emerging trends and future research directions in this field.
Article Details
Unique Paper ID: 164997 Publication Volume & Issue: Volume 10, Issue 12 Page(s): 2965 - 2975
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