The Planning Process of the Online Transaction Fraud Detection Using Backlogging on an E-Commerce Website
DOI:
https://doi.org/10.33102/mjosht.v9i1.331Keywords:
E-Commerce, Online Transaction, Payment Fraud, Backlogging, Software Development Life CycleAbstract
E-commerce is defined as the selling and purchasing of products, as well as the transmission of data or payments, through an electronic network. E-commerce is driven by the internet, where customers can browse through an online store and place orders for items or services using their own devices. Online transactions are used by e-commerce businesses to charge customers for goods and services. The rising number of online transactions has increased the number of payment frauds. Payment fraud refers to any type of fraudulent or illegal transaction carried out by a cybercriminal. The criminal utilizes the internet to deprive the victim of money, personal property, or sensitive information. The objective of this research is to investigate the gaps in the existing online transaction fraud detection on e-commerce websites, to propose and develop an online transaction fraud detection using backlogging on e-commerce websites that is safe against fraud and enables simple and efficient transactions and implement security measures to prevent a breach of the proposed system. The method for this research is using the Waterfall methodology as a Software Development Life Cycle.
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T. S. Chandu, and M. Sreedevi, “Online transaction fraud detection using backlogging on an e-commerce website,” Journal of Xi'an University of Architecture & Technology, vol. 6(8), pp. 36-45, 2020 ISSN number: 1006-7930.
M. Keenan. (2022) Global e-commerce explained: Stats and trends to watch in 2022. [Online]. Available: https://www.shopify.my/enterprise/global-ecommerce-statistics
Ponce, Edwin Kcomt, Katherine Escobedo Sanchez, and Laberiano Andrade-Arenas. "Implementation of a web system: Prevent fraud cases in electronic transactions." International Journal of Advanced Computer Science and Applications West Yorkshire 13, no. 6 (2022): 865-876. https://dx.doi.org/10.14569/IJACSA.2022.01306102
Padmalatha, N. A. "E-Commerce Frauds and the role of fraud Detection Tools in managing the risks associated with the frauds." International journal of advanced science and Technology 29, no. 4 (2020): 38-46.
J. Joy. The implication of the cyber threats and its issues in the business process organization: A case study of Tesco. Department of Computing and Informatics Bournemouth University, 2022.
Massa, Daniel, and Raul Valverde. "A fraud detection system based on anomaly intrusion detection systems for e-commerce applications." Computer and Information Science 7, no. 2 (2014): 117-140.
R. Saia., S. Carta., D. R. Recupero., and G. Fenu, “Fraud detection for e-commerce transactions by employing a prudential multiple consensus model,” Journal of Information Security and Applications, vol. 46, pp. 13-22, 2019. https://doi.org/10.5539/cis.v7n2p117
Zhang, Ge, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, and Jianliang Gao. "efraudcom: An e-commerce fraud detection system via competitive graph neural networks." ACM Transactions on Information Systems (TOIS) 40, no. 3 (2022): 1-29. https://doi.org/10.1145/3474379
Saeed, Muhammad Ahsan, Farrukh Yousaf, Osama Bin Khalid, Mushhad Gilani, Qamar Nawaz, and Isma Hamid. "Fraud Detection in E-Commerce Using Machine Learning." International Journal 10, no. 3 (2021). https://doi.org/10.30534/ijatcse/2021/1011032021
S. Wangde, R. Kheratkar, Z. Waghu, and P. S. Lawand. Online transaction fraud detection system using machine learning & e-commerce. International Research Journal of Engineering and Technology, 9(4), 2022.
S. M. Salve., S. N. Samreen., and N. K. Valmik, “A comparative study on software development life cycle models”, International Research Journal of Engineering and Technology, vol. 5(02), pp. 5, 2018.
E. Finlay. (2021) 5 waterfall project management phases you should know about. [Online]. Available: https://blog.mindmanager.com/waterfall-project-management-phases/
Nidhra, Srinivas, and Jagruthi Dondeti. "Black box and white box testing techniques-a literature review." International Journal of Embedded Systems and Applications (IJESA) 2, no. 2 (2012): 29-50. http://dx.doi.org/10.5121/ijesa.2012.2204
Bassil, Youssef. "A simulation model for the waterfall software development life cycle." arXiv preprint arXiv:1205.6904 (2012). https://doi.org/10.48550/arXiv.1205.6904
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Copyright (c) 2022 Atiqah Solehah Mat Taupit, Nurdiana Azizan
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