Credit card fraud detection using neural network and geolocation

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Gulati, Aman^1 ; Dubey, Prakash^1 ; Mdfuzail, C.^1 ; Norman, Jasmine^1 ; Mangayarkarasi, R.^1

School of Information Technology and Engineering, VIT University, Vellore

Tamil Nadu

632014, India^1

关键词: Credit card fraud detections;    Credit cards;    Fraud detection;    Geolocations;    Online medium;    Payment mode;    Spending patterns;    Suspicious transactions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042039/pdf
DOI  :  10.1088/1757-899X/263/4/042039

来源: IOP

【 摘 要 】

The most acknowledged payment mode is credit card for both disconnected and online mediums in today's day and age. It facilitates cashless shopping everywhere in the world. It is the most widespread and reasonable approach with regards to web based shopping, paying bills, what's more, performing other related errands. Thus danger of fraud exchanges utilizing credit card has likewise been expanding. In the Current Fraud Detection framework, false exchange is recognized after the transaction is completed. As opposed to the current system, the proposed system presents a methodology which facilitates the detection of fraudulent exchanges while they are being processed, this is achieved by means of Behaviour and Locational Analysis(Neural Logic) which considers a cardholder's way of managing money and spending pattern. A deviation from such a pattern will then lead to the system classifying it as suspicious transaction and will then be handled accordingly.