通过LINE应用通知开发信用卡欺诈检测警报系统

Narumol Chumuang, Sansanee Hiranchan, M. Ketcham, Worawut Yimyam, Patiyuth Pramkeaw, Sakchai Tangwannawit
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引用次数: 13

摘要

如今,防止欺诈是另一个重要的问题,研究人员提出了将信用卡中的可疑欺诈应用于在线应用的想法。本研究的目的是:1)通过API LINE通知开发可疑信用卡欺诈。2)衡量开发的系统在通知中的准确性,以防止可疑信用卡欺诈。测量方法由五个步骤组成:1)工作系统分析是对问题的研究和分析,以确定需求。2)系统设计是设计研究工具的过程。3)开发系统是开发研究工具的过程。4)执行工具的测试5)总结结果、讨论结果和建议。测量结果的效率、准确性和数据的完整性处于很好的水平,为86.67%。测试结果表明,在设定的条件下,效率达到了80%。测量结果准时性很好,等于86.67%。综上所述,开发的系统完成了所有的研究目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developed Credit Card Fraud Detection Alert Systems via Notification of LINE Application
As nowadays, prevention of fraud is another important issue, researcher have initiated the idea of applying suspicious frauds in credit cards to line application. The objectives of this research are: 1) for developing the suspected credit card fraud via API LINE Notify. 2) Measure the accuracy of the developed system in the notification to prevent suspicious fraud credit card. The measurement method is comprised of five steps which are: 1) Analysis of work systems is a study and analysis of problems to determine needs. 2) System design is the process of designing research tools. 3) Developing a system is the process of developing research tools. 4) A test of the tools is executed 5) Summary of results, discussion results, and suggestions. The measurement results of efficiency, accuracy, and completeness of the data were in a very good level, equal to 86.67%. The results of the measurement of efficiency to the conditions set are very good, equal to 80.00 %. The results of the measurement on time very good, equal to 86.67%. In conclusion, the developed system accomplishes all research goals.
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