期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：21
页码：3069-3083
出版社：Journal of Theoretical and Applied
摘要：Recently, there has been a massive increase in number of malware types which poses a severe threat to smart devices and to internet security. Thus, different techniques have been applied to detect, classify and identify malware. Among those techniques, visualization becomes the most attractive and popular. Visualization techniques have been applied to view static data, monitor network traffic or managing networks to detect and visualize the behavior of the malware. Addressing malware visualization techniques are of prime importance for protecting smart devices, monitoring network traffic or securing internet and digital resources. Although there are some literature review papers on malware detection techniques, none of them are addressed in a Systematic Literature Reviews (SLR) which details a range of related work, provides a systematic and rigorous approach to illustrate the current trend of malware detection techniques. In contrast, this paper followed general guidelines for conducting SLR to illustrate the malware visualization technique and its applications, statistically showing the most common malware types and extracted features that used to identify the malware. In this paper, an advanced search has been performed in most relevant digital libraries to obtain potentially relevant articles published until the end of 2016. About 80 primary studies (PSs) have been identified based on inclusion and exclusion criteria. The analytical study is mainly based on the PSs to achieve the papers� objectives. The results illustrate the importance of visualization techniques and which are the most common malware as well as the most useful features.
