Machine Learning and Artificial Intelligence in Online Fake Transaction Alerting

Authors

  • Naresh Babu Bynagari Keypixel Software Solutions

DOI:

https://doi.org/10.18034/ei.v3i2.566

Keywords:

Machine Learning (ML), Artificial Intelligence (AI), Fraud Transaction, Cyber Attacks, Algorithms Technology

Abstract

Artificial Intelligence (AI) is one of the most promising and intriguing innovations of modernity. Its potential is virtually unlimited, from smart music selection in personal gadgets to intelligent analysis of big data and real-time fraud detection and aversion. At the core of the AI philosophy lies an assumption that once a computer system is provided with enough data, it can learn based on that input. The more data is provided, the more sophisticated its learning ability becomes. This feature has acquired the name "machine learning" (ML). The opportunities explored with ML are plentiful today, and one of them is an ability to set up an evolving security system learning from the past cyber-fraud experiences and developing more rigorous fraud detection mechanisms. Read on to learn more about ML, the types and magnitude of fraud evidenced in modern banking, e-commerce, and healthcare, and how ML has become an innovative, timely, and efficient fraud prevention technology.

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Author Biography

Naresh Babu Bynagari, Keypixel Software Solutions

Andriod Developer, Keypixel Software Solutions, 777 Washington rd Parlin NJ 08859, Middlesex, USA

References

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Published

2015-12-31

How to Cite

Bynagari, N. B. (2015). Machine Learning and Artificial Intelligence in Online Fake Transaction Alerting. Engineering International, 3(2), 115–126. https://doi.org/10.18034/ei.v3i2.566

Issue

Vol. 3 No. 2 (2015): July - December

Section

Peer Reviewed Articles

License

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