Intelligent System for Fraud Detection in Online Banking using Improved Particle Swarm Optimization and Support Vector Machine-Reference-Cited by-同舟云学术

Intelligent System for Fraud Detection in Online Banking using Improved Particle Swarm Optimization and Support Vector Machine

Published:2023-06-01 Issue: Volume: Page:
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Container-title:2023 8th International Conference on Communication and Electronics Systems (ICCES)
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Author:

Rajkumar R.¹,Kogila N.²,Rajesh Sudha³,Begum A. Rucksar⁴

Affiliation:

1. Affiliated to Annamalai University, Chidambaram,St. Joseph's College of Arts and Science (Autonomous),PG and Research Department of Commerce,Cuddalore,Tamil Nadu,India

2. B. S. Abdur Rahman Crescent Institute of Science & Technology,Department of Commerce,Chennai,Tamil Nadu,India

3. School of Computing, SRMIST,Department of Computational Intelligence,Kattankulathur, Chennai,Tamilnadu,India

4. Affiliated to Annamalai University, Chidambaram,Immaculate College for Women,PG Department of Commerce,Cuddalore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192571/10192589/10192690.pdf?arnumber=10192690

Reference27 articles.

1. Exploiting Online Social Behaviors for Compromised Account Detection;wang,2016

2. Towards Detecting Compromised Accounts on Social Networks

3. Use of Hidden Markov Model as Internet Banking Fraud Detection;mhamane,2012

4. On the Anatomy of Human Hacking

5. Where You Are Is Who You Are: User Identification by Matching Statistics

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