Paper Title
Big data analytics for fraud detection:tools and techniques
Article Identifiers
Authors
Amal Unnikrishnan Nair
Keywords
Big Data, Security, Threat, Privacy, Fraud.
Abstract
Technological improvements have enabled a massive and constant influx of real-time data that can be utilised to optimise every part of a financial institution, from client targeting to cybersecurity. On the other hand, the shift to digital banking has brought with it a slew of cybersecurity problems and fraud dangers. According to Boston Consulting Group, financial services firms are 300 times more likely than other businesses to be victims of a cyberattack. It has prompted businesses that deal with massive data sets to incorporate fraud detection technologies into their risk management strategies. 75% of responders who have integrated AI and machine learning in their risk management strategies employ Big Data analytics for fraud detection. For decades, fraud has been a persistent issue for businesses and organisations. With the growth of digital technologies and online transactions, fraud has grown even more frequent and sophisticated. In recent years, Big Data Analytics has emerged as a significant tool for fraud detection and prevention
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How To Cite
"Big data analytics for fraud detection:tools and techniques ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b375-b381, April-2023, Available :https://ijnrd.org/papers/IJNRD2304142.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : b375-b381
Other Publication Details
Paper Reg. ID: IJNRD_190692
Published Paper Id: IJNRD2304142
Downloads: 000121209
Research Area: Information TechnologyÂ
Country: Thane , Maharashtra , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304142.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304142
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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
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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