Computer Malware Classification, Factors, and Detection Techniques: A Systematic Literature Review (SLR)

Asad Hussain, Sunila Fatima Ahmad, Mishal Tanveer, Ansa Sameen Iqbal
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Abstract

A Systematic Literature Review (SLR) was conducted using tailored searches based on our study topic. We completed all SLR processes, including periodic reviews as SLR. Researchers may find out about the justification, the review procedure, and the research question by using search keywords. This paper describes the trial approach to elaborate the search keywords, resources, restrictions, and validations that were, and explores search strategies made. The reviews are carried out by assessing the publication's quality, devising a data extraction approach, and synthesizing the results. All four research questions were used to analyze the papers concerning the findings. Finally, reports on the categorization of computer malware were analyzed for their detection methods, factors, and how they infiltrate computer systems have been published. SLR identifies the element, characteristics, and detection techniques that are explained in this research paper. Computer malware infects the computer system. This comprehensive literature review's is mainly based on recommendations by earlier studies.
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计算机恶意软件的分类、影响因素和检测技术:系统文献综述
系统文献综述(SLR)基于我们的研究主题进行了定制搜索。我们完成了所有的单反流程,包括作为单反的定期审查。研究者可以通过搜索关键词来了解论证、审查程序和研究问题。本文描述了试验方法,详细阐述了搜索关键词、资源、限制和验证,并探讨了搜索策略的制定。评审是通过评估出版物的质量、设计数据提取方法和综合结果来进行的。所有四个研究问题都用于分析有关研究结果的论文。最后,对计算机恶意软件分类的报告进行了分析,分析了它们的检测方法、因素以及它们如何渗透计算机系统。单反识别的元素,特征,和检测技术,在这篇研究论文中解释。计算机恶意软件感染计算机系统。这篇全面的文献综述主要是基于早期研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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