… vulnerability feature, we extended the vulnerability feature space by incorporating additional
features … The importance metric is still given by a vulnerability-exploit relationship, but by …

… risk factor for the IT asset where the vulnerability is located, this study proposes the development
of a prioritization model that uses Shodan as a vulnerability … A key feature is that the …

… For example, authors in [20] built their decision tree based on data of the asset and vulnerability
features for a power grid and reached 97% accuracy. However, their solution is domain-…

… In Section II, we describe the related work of assessing vulnerabilities’ risk and background
on features and tools used in our solution. Section III explains the motivation of LICALITY. …

… features for the categorization task. The proposed system helps to channelize the efforts of
the testing team by prioritizing the newly found vulnerabilities … so that the risk is minimized. By …

… , we have to scientifically define which vulnerability features bear the greatest influence on
overall “… (4) Risk Level: A one-word description to annotate vulnerability severity. The software …

… into hard-to-use optional features. Given this, as much as it is … is for prioritizing vulnerabilities
based on the risk stemming from exploitation. The cost of patching, the other side of the risk …

… vulnerabilities and their fixation to minimize the potential risk they present. Vulnerability
prioritization … , and interdependence among the unpredictable features or attributes. This method …

… SSVC presents a risk prioritization method that might be useful or at least allied to other
risk … fixes for multiple vulnerabilities and, often, new or improved features. Supplier output is …

… Thus, an efficient and effective vulnerability prioritization … proposes a novel risk-based
vulnerability prioritization framework that … vulnerability risk features contribute to the proposed risk-…