Review of Cybercrime Detection Approaches using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Review of Cybercrime Detection Approaches using Machine Learning and Deep Learning Techniques

Published:2024-06-05 Issue: Volume:11 Page:772-779
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
language:
Short-container-title:

Author:

Gumma Yalamandeswara Rao¹,Peram Subbarao²

Affiliation:

1. Vignan Foundation For Science, Technology and Research, Guntur - Tenali Rd,Department of Computer Science and Engineering,Vadlamudi,Andhra Pradesh,522213

2. Vignan Foundation For Science, Technology and Research (VFSTR), Guntur -Tenali Rd,Department of Information Technology,Vadlamudi,Andhra Pradesh,522213

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575058.pdf?arnumber=10575058

Reference23 articles.

1. Computational System to Classify Cyber Crime Offenses using Machine Learning

2. Comprehensive Review of Cybercrime Detection Techniques

3. Cybercrime Detection and Prevention Efforts in the Last Decade: An Overview of the Possibilities of Machine Learning Models;Chinedu;Review of International Geographical Education Online,2021

4. Ensem_SLDR: Classification of Cybercrime using Ensemble Learning Technique

5. Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

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