Identification of Ransomware families by Analyzing Network Traffic Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Identification of Ransomware families by Analyzing Network Traffic Using Machine Learning Techniques

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 Third International Conference on Transdisciplinary AI (TransAI)
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Author:

Almousa May,Osawere Janet,Anwar Mohd

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9565568/9565608/09565641.pdf?arnumber=9565641

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Crypto Ransomware Detection Through Network Analysis and Machine Learning;Advances in Computational Intelligence and Robotics;2024-03-04

2. Real-Time Defense System using eBPF for Machine Learning-Based Ransomware Detection Method;2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW);2023-11-27

3. Crypto-Ransomware: A Revision of the State of the Art, Advances and Challenges;Electronics;2023-11-01

4. The Age of Ransomware: A Survey on the Evolution, Taxonomy, and Research Directions;IEEE Access;2023

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