Development of Malware Detection Using Machine Learning-Reference-Cited by-同舟云学术

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Development of Malware Detection Using Machine Learning

Published:2024-04-02 Issue: Volume:1 Page:1-4
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Adedayo-Ajayi Victoria Oluwaseyi¹,Oluwaseun Ogundokun Roseline²,Akande Hakeem Babatunde³,Nathanial Babatunde Akinbowale⁴,Dubem Dubem⁵,Tunbosun Aderemi Emmanuel⁵,Kolawole Ojo Adekunle⁵

Affiliation:

1. Landmark University,Department of Computer Science,Omu-Aran,Nigeria

2. Kaunas University of Technology,Department of Multimedia Engineering,Lithuania

3. Landmark University,Department of Computer Science,Omu Aran,Nigeria

4. University of Ilorin,Department of Computer Science,Ilorin,Nigeria

5. Kwara State University,Department of Computer Science,Malete,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630194.pdf?arnumber=10630194

Reference16 articles.

1. An Enhanced Intrusion Detection System using Particle Swarm Optimization Feature Extraction Technique

2. Emerging threats in cybersecurity: a review article;Kumar;International Journal of Applied and Natural Sciences,,2023

3. Cyber Intrusion Detection System based on Machine Learning Classification Approaches

4. A Systematic Literature Review on the Cyber Security

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