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Defense Strategies for Epidemic Cyber Security Threats: Modeling and Analysis by Using a Machine Learning Approach

  • Published:2024 Issue: Volume:12 Page:4958-4984
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Sulaiman Muhammad1ORCID,Waseem Muhammad1ORCID,Ali Addisu Negash2ORCID,Laouini Ghaylen3ORCID,Alshammari Fahad Sameer4ORCID

Affiliation:

1. Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, Pakistan

2. Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia

3. College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait

4. Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Prince Sattam bin Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 2 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. Improving Memory Malware Detection in Machine Learning With Random Forest-Based Feature Selection;Advances in IT Standards and Standardization Research;2024-05-31

2. Study on Empowering Cyber Security by Using Adaptive Machine Learning Methods;2024 Systems and Information Engineering Design Symposium (SIEDS);2024-05-03
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