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http://dx.doi.org/10.6109/jkiice.2020.24.4.522

A Spread Prediction Tool based on the Modeling of Malware Epidemics  

Shin, Weon (Department of Information Security, Tongmyong University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.4, 2020 , pp. 522-528 More about this Journal
Abstract
Rapidly spreading malware, such as ransomware, trojans and Internet worms, have become one of the new major threats of the Internet recently. In order to resist against their malicious behaviors, it is essential to comprehend how malware propagate and how main factors affect spreads of them. In this paper, we aim to develop a spread prediction tool based on the modeling of malware epidemics. So we surveyed the related studies, and described the system design and implementation. In addition, we experimented on the spread of malware with major factors of malware using the developed spread prediction tool. If you make good use of the proposed prediction tool, it is possible to predict the malware spread at major factors and explore under various responses from a macro perspective with only basic knowledge of the recently wormable malware.
Keywords
Malware epidemics; Spread modeling; Spread prediction tool; Wormable malware;
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