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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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) |
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| Paper Title: | SECURING E-COMMERCE: AI-POWERED FRAUD DETECTION AND PREVENTION |
| Authors Name: | MANASA A S , Ashish L |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216531
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| Published Paper Id: | IJNRD2403504 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | This abstract presents an AI-driven approach to fortify fraud detection and prevention mechanisms within e-commerce websites. In response to the escalating threat of fraudulent activities, this system harnesses the capabilities of Artificial Intelligence (AI) to proactively identify and mitigate risks. By analyzing vast datasets in real-time, AI algorithms adeptly discern patterns indicative of fraudulent behavior, enabling swift intervention to safeguard the integrity of transactions. Leveraging machine learning techniques, the system continually refines its understanding of evolving fraud tactics, adapting to new threats with precision and agility. Behavioral analysis forms a cornerstone of this framework, scrutinizing user interactions and transactional patterns to detect anomalies and flag potential fraud. Through advanced data visualization tools, stakeholders gain actionable insights into emerging trends and suspicious activities, empowering informed decision-making. By integrating AI-powered fraud prevention measures, e-commerce platforms bolster their security posture, fostering trust and confidence among users while mitigating financial losses. This innovative approach signifies a paradigm shift in combating fraud within the digital marketplace, underscoring the transformative potential of AI in safeguarding the interests of businesses and consumers alike. |
| Keywords: | E-commerce, artificial intelligence, algorithm |
| Cite Article: | "SECURING E-COMMERCE: AI-POWERED FRAUD DETECTION AND PREVENTION ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f28-f33, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403504.pdf |
| Downloads: | 00042 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403504 Registration ID: 216531 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f28-f33 Country: Thrissur, Kerala, India Research Area: Master of Computer Application Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403504 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403504 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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