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Cyber Risk Management of API-Enabled Financial Crime in Open Banking Services. [PDF]
Entropy (Basel)Ojehomon OG, Cichorska J, Michnik J.
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Sequence classification for credit-card fraud detection
Expert Systems With Applications, 2018Abstract Due to the growing volume of electronic payments, the monetary strain of credit-card fraud is turning into a substantial challenge for financial institutions and service providers, thus forcing them to continuously improve their fraud detection systems. However, modern data-driven and learning-based methods, despite their popularity in other
Michael Granitzer +2 more
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Credit Card Fraud Detection Using AdaBoost and Majority Voting
IEEE Access, 2018 Credit Card Fraud Detection Using AdaBoost and Majority ...
Kuldeep Randhawa +2 more
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Machine Learning for Credit Card Fraud Detection
Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics, 2021With the development of E-bank, the use of credit cards gets an unprecedented improvement as well as the problem of credit card fraud. To overcome this problem, we need automatic systems to finish the fraud detection. The number of monitored account data is so large that our human resources are unable to detect the whole dataset. Also, since the number
Yuxin Gao, Shuoming Zhang, Jiapeng Lu
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Credit Card Fraud Detection with Resampling Techniques
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021With the advancement of technology and consumer strength, the use of credit cards has rapidly increased. Credit Cards have shortened a transaction process making it simpler but has made the system prone to frauds. The information regarding one's credit card can easily be stolen and misused.
Prerak Parekh +3 more
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Credit Card Fraud Detection and Analysis
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Rohan Pawar +2 more
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Ensemble learning for credit card fraud detection
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018Timely detection of fraudulent credit card transactions is a business critical and challenging problem in Financial Industry. Specifically, we must deal with the highly skewed nature of the dataset, that is, the ratio of fraud to normal transactions is very small.
Ishan Sohony +2 more
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Credit card fraud detection with a neural-network
Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94, 1994Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time.
Sushmito Ghosh, Douglas L. Reilly
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Random forest for credit card fraud detection
2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), 2018Credit card fraud events take place frequently and then result in huge financial losses. Criminals can use some technologies such as Trojan or Phishing to steal the information of other people's credit cards. Therefore, an effictive fraud detection method is important since it can identify a fraud in time when a criminal uses a stolen card to consume ...
Shiyang Xuan +5 more
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Credit Card Fraud Detection in E-Commerce
2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019Often the challenge associated with tasks like fraud detection is the lack of all likely patterns needed to train suitable supervised learning models. This problem accentuates when the fraudulent patterns are not only scarce, they also change over time.
Utkarsh Porwal, Smruthi Mukund
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