Paper Title

SECURING E-COMMERCE: AI-POWERED FRAUD DETECTION AND PREVENTION

Article Identifiers

Registration ID: IJNRD_216531

Published ID: IJNRD2403504

DOI: Click Here to Get

Authors

MANASA A S , Ashish L

Keywords

E-commerce, artificial intelligence, algorithm

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.

How To Cite

"SECURING E-COMMERCE: AI-POWERED FRAUD DETECTION AND PREVENTION ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f28-f33, March-2024, Available :https://ijnrd.org/papers/IJNRD2403504.pdf

Issue

Volume 9 Issue 3, March-2024

Pages : f28-f33

Other Publication Details

Paper Reg. ID: IJNRD_216531

Published Paper Id: IJNRD2403504

Downloads: 000121246

Research Area: Master of Computer Application 

Country: Thrissur, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403504.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403504

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area