恶意软件可视化技术

Ahmet Efe, S. Hussin
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引用次数: 3

摘要

恶意软件基本上是指恶意软件,它可以是一种侵入性程序代码或任何旨在对系统执行恶意操作的东西,并在未经用户知情和同意的情况下执行诸如秘密、监听、监视、保存和删除等恶意操作。恶意软件的审查和分析需要高级的编程知识、深入的文件系统知识、深入的代码检查和逆向工程能力。需要新的技术来减少恶意软件分析的间接成本。本文旨在提供对恶意软件可视化技术及其应用的见解,在本研究中展示了最常见的恶意软件类型和用于识别恶意软件的提取特征。在这项工作中,系统文献综述(SLR)对恶意软件检测技术、数据可视化和恶意软件特征的现状进行了调查。在大多数相关的数字图书馆中,对潜在发表的文章进行了先进的研究。根据纳入和排除标准确定了90项初步研究(PS)。分析性研究主要是基于PSs来实现目标。结果阐明了可视化技术的重要性,以及哪些是最常见的恶意软件以及最有用的功能。已经提出了几种可视化恶意软件的方法来帮助恶意软件分析人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malware Visualization Techniques
Malware basically means malicious software that can be an intrusive program code or anything that is designed to perform malicious operations on system and executes malicious actions such as clandestine, listening, monitoring, saving, and deleting without the user's knowledge and consent. Malware review and analysis requires an advanced level of programming knowledge, in-depth file systems knowledge, deep code inspection, and reverse engineering capability. New techniques are needed to reduce indirect costs of malware analysis. This paper aims to provide insights into the malware visualization techniques and its applications, most common malware types and the extracted features that used to identify the malware are demonstrated in this study. In this work, Systematic Literature Review (SLR) conducted to investigate the current state of knowledge about Malware detection techniques, data visualization and malware features. An advanced research has been carried out in most relevant digital libraries for potential published articles. 90 preliminary studies (PS) were determined on the basis of inclusion and exclusion criteria. The analytical study is based mainly on the PSs to achieve the goals. The results clarify the importance of visualization techniques and which are the most common malware as well as the most useful features. Several ways to visualize malware to help malware analysts have been suggested.
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