Automated Banking Fraud Detection for Identification and Restriction of Unauthorised Access in Financial Sector-Reference-Cited by-同舟云学术

Automated Banking Fraud Detection for Identification and Restriction of Unauthorised Access in Financial Sector

Published:2022-10-20 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Biswas Ankur¹,Deol Ramandeep Singh²,Jha Barun Kumar³,Jakka Geethamanikanta⁴,Suguna M. Raja⁵,Thomson Benjamin Isaac⁶

Affiliation:

1. Adamas University,Dept. of Comp. Sc. & Engg.,Kolkata,India

2. LKCTC, Jalandhar. Dept. Management

3. University of Delhi,Department of Commerce Atma Ram Sanatan Dharma College,India

4. University of the Cumberlands,Information Technology,USA

5. Computer Science And Engineering R.M.K. College Engineering And Technology

6. BTech Biotechnology, Sathyabama Institute of Science and Technology

Publisher

IEEE

Link

Reference15 articles.

3. Thematic analysis;joffe;Qualitative Research Methods in Mental Health and Psychotherapy A Guide for Students and Practitioners,2012

5. SAS Detection and Investigat ion for Banking,2021

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1. Developing AI-based Fraud Detection Systems for Banking and Finance;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

2. Financial Fraud Detection Using Deep Learning Techniques;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29