Improved security in credit cards via duplicitous contract detection
Suman Yadavsuman.yadav@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , *Ruchi SharmaCorresponding authorruchi.sharma@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Annu Dabasannu.dabas@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Charu Aroracharu.arora@bharatividyapeeth.eduDepartment of Applied SciencesBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Gaurav Mitragaurav.mitra@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Apoorva Aggarwalapoorva.aggarwal@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Arvind Rehaliaarvind.rehalia@bharatividyapeeth.eduDepartment of Information and Technology EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Sanjeev Sanyalsanjeev.sanyal@imsec.ac.inDepartment of Computer ScienceIMS Engineering CollegeGhaziabad, Uttar Pradesh, IndiaView full profile → , Monika Aroramonika.arora@mirandahouse.ac.inDepartment of MathematicsMiranda HouseUniversity of DelhiDelhi, 110007, India0000-0001-8302-2640View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 07 Aug 2024
- Published Online:
- 19 Feb 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1853
- Pages:
- 75–79
Abstract
Keywords
Subject Classifications
References
[1] J. O. Awoyemi, A. O. Adetunmbi, and S. A. Oluwadare, “Credit card fraud detection using machine learning techniques: A comparative analysis,” in Proc. IEEE Int. Conf. Comput. Netw. Informatics, Lagos, Nigeria (2017).
[2] F. N. Ogwueleka, “Data mining application in credit card fraud detection system,” J. Eng. Sci. Technol., vol. 6, no. 3, pp. 311–322 (2011).
[3] S. Xuan, G. Liu, Z. Li, L. Zheng, S. Wang, and C. Jiang, “Random forest for credit card fraud detection,” in Proc. IEEE Int. Conf. Netw., Sens. Control, Zhuhai, China (2018).
[4] G. Singh, R. Gupta, and M. D. S. Chandel, “A machine learning approach for detection of fraud based on SVM,” Int. J. Sci. Eng. Technol., vol. 2, no. 5, pp. 455–459 (2012).
