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1 Title of the Article Analysis of Cyber Security Threats Using Machine Learning Techniques
2 Author's name Ranjana B Nadagoudar: Assistant Professor, Department of Computer Science & Engineering, Visvesvaraya Technological University, Belagavi, India
3 Author's name
4 Subject Computer Science and Engineering
5 Keyword(s) Malware Detection, Malware Family Detection, KNN, SVM, API Calls Argument
6 Abstract

Nowadays malware detection is a problem that researchers have tried to solve for so many years by using enormous type of methods. The behaviors of two given malware variants remain similar, although their signatures could also be distinct. The proposed project mainly concentrates on classifying the malware families by considering the malware API sequence or API commands. This type of classification is helpful for the analyst as it helps them to get a better insight into the functioning of the malware.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-12 Issue-1
9 Publication Date January 2024
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Analysis-of-Cyber-Security-Threats-Using-Machine-Learning-Techniques&year=2024&vol=12&primary=QVJULTEyMjU=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2024.12.1.7   https://doi.org/10.55524/ijircst.2024.12.1.7
14 Language English
15 Page No 35-39

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