Empowering Digital Resilience: SVM Kernel Comparison for Malware Classification to Enhance Security
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624684/10624740/10624851.pdf?arnumber=10624851
Reference17 articles.
1. Significant Permission Identification for Machine-Learning-Based Android Malware Detection
2. A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
3. Machine learning in cybersecurity: a comprehensive survey
4. An Inside Look at IoT Malware;Wang;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,2017
5. The rise of machine learning for detection and classification of malware: Research developments, trends and challenges;Gibert;Journal of Network and Computer Applications,2020
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