Paper Title

Credit Card Scam Detection

Article Identifiers

Registration ID: IJNRD_181191

Published ID: IJNRDA001045

DOI: Click Here to Get

Authors

M. DilliBabu , Tricia L C , Supraja C , Shiny Sherlee P

Keywords

Credit card scam, data science, applications of machine learning, artificial intelligence, automated scam detection.

Abstract

Credit card scam could be a genuine issue in budgetary administrations.Credit card scam may be a frame of a broader category of wrongdoing known as personality burglary, by which offenders utilize your individual data to mimic you and capture your funds. In expansion to credit card data, personality hoodlums can utilize qualification counting your title, date of birth, address and social security number to require over bank account, take out advances in your title, and apply for fake charge discounts, unemployment benefits and social security checks - taking advantages if benefits you’ve earned. One common sort of scam the company is when riders are paid through stolen credit cards behind each trick there’s a structure design that gets to be obvious in the event that you see near sufficient. Scam discovery may be a set of exercises that are taken to avoid cash or property from being gotten through false falsifications. Scam can be committed totally different ways and in numerous businesses. E-commerce and numerous other online locales have expanded the online installment modes, expanding the chance for online fakes. Increment in scam rates, analysts begun utilizing diverse machine learning strategies to identify and dissect fakes in online exchanges. Credit card scam for the most part happens when the card was stolen for any of the unapproved purposes or indeed when the fraudster employments the credit card data for his utilize.

How To Cite

"Credit Card Scam Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 5, page no.231-233, May-2022, Available :https://ijnrd.org/papers/IJNRDA001045.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 231-233

Other Publication Details

Paper Reg. ID: IJNRD_181191

Published Paper Id: IJNRDA001045

Downloads: 000121190

Research Area: Science & Technology

Country: thiruvellur, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001045.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDA001045

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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Frequency: Monthly (12 issue Annually).

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