The influence of network traffic on CVSS is positive. As vulnerability increases, CVSS score increases and hence the impact on IT assets is high. Vulnerability has a positive influence on CVSS score. The model helps analysts decide which lever to adjust to meet the final project goal. They can then record these instances and decide on the best option.

Analysts can change the data and perform what-if analyses. It is thus a proactive model that helps the technical analyst to analyze the data and predict outcomes. The model can be simulated to predict final outcomes based on the corrections suggested. Depending on the predictions, midcourse corrections can be recommended. This can also be explored further by building simulations. A process performance model adopts the concepts of probability. Prediction models can be developed to predict different project outcomes and interim outcomes by using statistical techniques. The authors then go on to explain the importance of prediction models: However, this following snippet from the paper is something can be augmented and used for threat forecasting. There are currently models that exist for scoring threats, as can be seen in the Scientific World Journal, which published the paper вЂњUsing a Prediction Model to Manage Cyber Security Threats.вЂќ Although this type of modeling is tied to CVSS and the risk associated within an organization based on multiple attributes. This is where you can pinpoint risk starting from a specific geographical location, to a city, an industry vertical, a specific corporation and, finally, an individual. These risk levels are tied to the KPIs, but more importantly to corresponding IP addresses of major corporations and small-to-medium businesses to email addresses. In addition to the build, buy and partner analysis you need to perform a statistical scoring analysis that provides the highest probability of the data to determine what would be considered low risk 0вЂ“30%, medium risk 31вЂ“79% and high risk 80вЂ“100%. This requires a build, buy and partner analysis. Since threat forecasting is a relatively new concept that provides the ability to forecast a threat before it arrives at the front door, you have to ensure that all the threat data are high fidelity. The M at the end of the file extension indicates that the document contains Macros. SLDM-New file extensions introduced in Office 2007. PPT- Microsoft Word, Excel, and PowerPoint documents.

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