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RTrap: Trapping and Containing Ransomware With Machine Learning

  • Published:2023 Issue: Volume:18 Page:1433-1448
  • ISSN:1556-6013
  • Container-title:IEEE Transactions on Information Forensics and Security
  • language:
  • Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Ganfure Gaddisa Olani1ORCID,Wu Chun-Feng2ORCID,Chang Yuan-Hao3ORCID,Shih Wei-Kuan1ORCID

Affiliation:

1. Department of Computer Science, Dire Dawa Institute of Technology, Dire Dawa, Ethiopia

2. Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

3. Institute of Information Science, Academia Sinica, Taipei City, Taiwan

Funder

National Science and Technology Council

Academia Sinica

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 12 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. An intelligent ransomware attack detection and classification using dual vision transformer with Mantis Search Split Attention Network;Computers and Electrical Engineering;2024-10

2. An Empirical Study of Data Disruption by Ransomware Attacks;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

3. Deep learning-powered malware detection in cyberspace: a contemporary review;Frontiers in Physics;2024-03-28

4. Vig-WaR: Vigilantly Watching Ransomware for Robust Trapping and Containment;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06

5. Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks;IEEE Access;2024
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