Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The proliferation of e-commerce platforms has brought about numerous conveniences for consumers and businesses alike. However, it has also opened the door to various forms of online transaction fraud. This paper presents an innovative approach to detecting online transaction fraud by employing the backlogging technique on e-commerce websites. Utilizing machine learning algorithms and data analytics, this system aims to enhance the security infrastructure of online shopping platforms, safeguarding consumers and businesses from fraudulent activities
"Online Transaction Fraud Detection Using Backlogging On E-Commerce Websites", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.267 - 272, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404037.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator