Developing AI-based Fraud Detection Systems for Banking and Finance-Reference-Cited by-同舟云学术

Developing AI-based Fraud Detection Systems for Banking and Finance

Published:2023-08-03 Issue: Volume: Page:
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Container-title:2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Dash Samikshya¹,Das Simanchala²,Sivasubramanian S.³,Sundaram N. Kalyana³,G Harsha K⁴,Sathish T.⁵

Affiliation:

1. School of Computer Science and Engineering, VIT-AP University,Amaravati,Andhra Pradesh,India,522237

2. KL Business School, Koneru Lakshmaiah Education Foundation,Vaddeswaram,Andhra Pradesh,India,522502

3. New Prince Shri Bhavani College of Engineering and Technology,Department of Information Technology,Chennai,Tamil Nadu,India,600073

4. JSS Academy of Technical Education,Department of Computer Science,Noida,Uttar Pradesh,India,201301

5. Saveetha School of Engineering,Department of Mechanical Engineering,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220576/10220579/10220838.pdf?arnumber=10220838

Reference15 articles.

1. Statistical Features based Optimized Technique for Copy Move Forgery Detection

2. Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer’s Perspective

3. Banking on AI: mandating a proactive approach to AI regulation in the financial sector

4. Finance and artificial intelligence: The fifth industrial revolution and its impact on the financial sector;goli?;Zbornik Radova Ekonomskog Fakulteta U Istocnom Sarajevu,2019

5. An optimized technique for copy–move forgery localization using statistical features

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