An Exploratory Analysis of Feature Selection for Malware Detection with Simple Machine Learning Algorithms-Reference-Cited by-同舟云学术

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An Exploratory Analysis of Feature Selection for Malware Detection with Simple Machine Learning Algorithms

Published:2023 Issue:3 Volume:19 Page:207-219
ISSN:1845-6421
Container-title:Journal of Communications Software and Systems
language:
Short-container-title:JCOMSS

Author:

Rahman Md Ashikur,Islam Syful,Nugroho Yusuf Sulistyo,Al Irsyadi Fatah Yasin,Hossain Md Javed

Publisher

Croatian Communications and Information Society

Subject

Electrical and Electronic Engineering,Software

Link

https://jcoms.fesb.unist.hr/pdfs/v19n3_2023-0091_Rahman.pdf

Cited by 3 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. Maturity Model of Response Protocols to Ransomware Scenarios in the Mining Sector;Communications in Computer and Information Science;2024

3. Deep Neural Network Binary Classification for Malware Detection: A Parametric Study;Lecture Notes in Networks and Systems;2024

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