Suwanda, Ali and Lim, Charles and Lukas, Lukas (2020) Malware Threat Score Framework Using Static and Dynamic Features. Masters thesis, Swiss German University.

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Abstract

In recent study malware threat becomes more targeted over three years. With those indications, malware threat became a massive risk to the organization therefore, it is important for the organization to improve their situational awareness in cyber security context. It is important for the management to take a decision and create awareness to the organizations hence, threat score can provide high-level information of malware threat that can support strategic and decision making process in the organization. This study focus on to analyze data to create a threat score framework and measure their threat using static and dynamic analysis.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Static Analysis, Dynamic Analysis, Threat Score
Subjects:	Q Science > QA Mathematics > QA76 Computer software > Q Science > QA Mathematics > QA76 Computer software > T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Faisal Ifzaldi
Date Deposited:	02 Nov 2020 13:46
Last Modified:	02 Nov 2020 13:46
URI:	http://repository.sgu.ac.id/id/eprint/1808

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