Improving Classification Performance for Malware Detection Using Genetic Programming Feature Selection Techniques-Reference-Cited by-同舟云学术

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Improving Classification Performance for Malware Detection Using Genetic Programming Feature Selection Techniques

Published:2022-05-01 Issue: Volume: Page:1-21
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Harahsheh Heba¹,Alshraideh Mohammad¹,Al-Sharaeh Saleh¹,Al-Sayyed Rizik¹

Affiliation:

1. King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2022.2067459

Reference39 articles.

1. Feature selection methods on gene expression microarray data for cancer classification: A systematic review

2. A Comprehensive Review on Malware Detection Approaches

3. PSO-based method for SVM classification on skewed data sets

Cited by 1 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. An Android Malware Multi-class Classification Explained Through Genetic Programming;Lecture Notes in Computer Science;2024

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