Analysis Of Optimization Techniques For Credit Card Fraud Detection

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Shikhar Agrahari; Arun Kumar; Tanu; Abhinay Patel; Abhinav Chauhan; Mrs. Meenu Sharma

Analysis Of Optimization Techniques For Credit Card Fraud Detection

Authors: Shikhar Agrahari, Arun Kumar , Tanu, Abhinay Patel, Abhinav Chauhan, Mrs. Meenu Sharma

Unique Paper ID: 164997
Volume: 10
Issue: 12
PageNo: 2965-2975

Keywords: Smart Computers Credit Card Fraud Working Together Privacy New Idea.

Abstract:
In Todayâ€™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.

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 12
PageNo: 2965-2975

Analysis Of Optimization Techniques For Credit Card Fraud Detection

Available:https://ijirt.org/article?manuscript=164997

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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