## 4 Experimental Results
### Final MRI
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline  & **Filename** & **MDS** & \multicolumn{3}{c}{**Malware**} & \multicolumn{3}{c}{**Malware for Malicious Activities**} \\ \cline{4-10}  & & & **Initial Risk** & **Priority** & **Initial MRI** & **MRI with Weight** & **Final Priority** & **Final MRI** \\ \hline
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When the proposed method is used to consider the features of each malware or the relationships between malware, between MAs, and between the MAs of each malware, a detailed MRI with a clear basis is estimated. However, if the malicious code used in Table 4 is analyzed again, the value of the MRI for the malicious code is calculated as shown in Figure 3.  
These analysis results provide a basic decision-making foundation that allows CERT security controllers to determine the priority of malware, which must be countered pre-emptively by performing a continuous detailed intelligence analysis of malware that is collected during operations, while simultaneously preparing active cyber responses by reviewing the MAs of high-priority malware. Additionally, these results allow organizations to detect security vulnerabilities and prepare for specialized cyberattacks by identifying cyberthreats exploiting these vulnerabilities.