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Title: :  ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE
PaperId: :  22906
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22906
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Moses RBannari Amman Institute of Technology
Krishna TBannari Amman Institute of Technology
Lokeswaran PBannari Amman Institute of Technology
Sangavi NBannari Amman Institute of Technology

Abstract

Computer Science Engineering
Fraud detection, Backlogging, Behaviour analysis, Machine learning, Identity theft.
Online transactions are becoming more common and convenient, but they also pose a risk of fraud and cyber-crime. To prevent and detect fraudulent transactions on e-commerce websites, a system using backlogging is proposed. Backlogging is a technique that blocks the application of a transaction until it is verified by the user or the bank. The system uses a behaviour and location analysis (BLA) to compare the current transaction with the user’s previous patterns and preferences. If the BLA detects any anomaly or inconsistency, the system asks for a re-verification from the user or the bank. The system also uses machine learning methods to identify and classify the types of frauds and the fraudsters. The system aims to reduce the false positive and false negative rates of fraud detection, and to enhance the security and trust of online transactions. The system is implemented using Python and tested on a simulated e-commerce website. The results show that the system can effectively detect and prevent various types of frauds, such as identity theft, card cloning, phishing, and spoofing. The system also provides a user-friendly interface and a feedback mechanism for the users and the banks. The system can be integrated with existing e-commerce platforms and can be customized according to the needs and preferences of the users and the banks. If any sort of surprising pattern is detected by the FDS then it asks for a re- verification. The algorithm used in the system then analyses all previous information of that card holder and recognizes any unusual pattern in the payment procedure.

Citations

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IJARIIE Moses R, Krishna T, Lokeswaran P, and Sangavi N. "ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3704-3710
MLA Moses R, Krishna T, Lokeswaran P, and Sangavi N. "ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3704-3710.
APA Moses R, Krishna T, Lokeswaran P, & Sangavi N. (2024). ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3704-3710.
Chicago Moses R, Krishna T, Lokeswaran P, and Sangavi N. "ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3704-3710.
Oxford Moses R, Krishna T, Lokeswaran P, and Sangavi N. 'ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3704-3710. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ONLINE_TRANSACTION_FRAUD_DETECTION_USING___BACKLOGGING_ON_ECOMMERCE_ijariie22906.pdf (Accessed : 25 July 2024).
Harvard Moses R, Krishna T, Lokeswaran P, and Sangavi N. (2024) 'ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3704-3710IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ONLINE_TRANSACTION_FRAUD_DETECTION_USING___BACKLOGGING_ON_ECOMMERCE_ijariie22906.pdf (Accessed : 25 July 2024)
IEEE Moses R, Krishna T, Lokeswaran P, and Sangavi N, "ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3704-3710, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/ONLINE_TRANSACTION_FRAUD_DETECTION_USING___BACKLOGGING_ON_ECOMMERCE_ijariie22906.pdf [Accessed : 25 July 2024].
Turabian Moses R, Krishna T, Lokeswaran P, and Sangavi N. "ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (25 July 2024).
Vancouver Moses R, Krishna T, Lokeswaran P, and Sangavi N. ONLINE TRANSACTION FRAUD DETECTION USING BACKLOGGING ON ECOMMERCE WEBSITE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 25 July 2024]; 10(2) : 3704-3710. Available from: https://ijariie.com/AdminUploadPdf/ONLINE_TRANSACTION_FRAUD_DETECTION_USING___BACKLOGGING_ON_ECOMMERCE_ijariie22906.pdf
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