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A Survey on Malware Detection and Classification
Journal of Applied Security Research ( IF 1.1 ) Pub Date : 2020-08-11 , DOI: 10.1080/19361610.2020.1796162
Rupali Komatwar 1 , Manesh Kokare 2
Affiliation  

Abstract

Today one of the foremost threats on the Internet is mischievous software, often denoted as malware. In this era, one of the hot research areas is detection, visualization, and classification of malware. The current era needs an automated malware classification system without disassembly or code obfuscation. This paper gives a brief survey of visualization and classification of malware image. This survey includes a study of a considerable number of previous research papers covering the research characteristics of a system design of malware classification technique, a survey of the category of malware, and malware images.



中文翻译:

恶意软件检测和分类调查

摘要

今天,互联网上最重要的威胁之一是恶作剧软件,通常表示为恶意软件。在这个时代,热门的研究领域之一是恶意软件的检测、可视化和分类。当前时代需要一个无需反汇编或代码混淆的自动化恶意软件分类系统。本文简要介绍了恶意软件图像的可视化和分类。本次调查包括对大量以往研究论文的研究,涵盖恶意软件分类技术系统设计的研究特征、恶意软件类别调查和恶意软件图像。

更新日期:2020-08-11
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