Common Vulnerability Scoring System
By Peter Mell, Karen Scarfone, S. Romanosky. IEEE Security and Privacy, 2006
825 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/05306330d686abc2a1608aa863a6c79cc3e9ebdb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Ludovic Piètre-Cambacédès
- Sushil Jajodia
- Viliam Lisý
- Christopher Kiekintveld
- Branislav Bosanský
- Barbara Kordy
- Karel Durkota
- Patrick Schweitzer
In Software
Citations in the corpus
- Optimal Network Security Hardening Using Attack Graph Games (2015, methodology): “…that the information about the costs and success probabilities for different actions can be estimated using the Common Vulnerability Scoring System [Mell et al., 2006] values available in the National Vulnerability Database [Bacic et al., 2006], historical data, red team exercises, or be directly…”
- An Attack Graph-Based Probabilistic Security Metric (2008, methodology): “This value thus only depends on each individual vulnerability, which is similar to many existing metrics, such as the CVSS [13].”
- A Survey on Advanced Persistent Threats: Techniques, Solutions, Challenges, and Research Opportunities (2019, neutral): “…are usually exposed and can be obtained from well-known vulnerability databases such as Common Vulnerabilities and Exposures List (CVE), and NIST National Vulnerability Database (NVD) [10] which publicly disclosed vulnerabilities where each vulnerability is identified using an unique CVE-ID.”
- DAG-based attack and defense modeling: Don't miss the forest for the attack trees (2013, background): “The paper proposes to link the mean TTC to the CVSS metric values [191] of specific vulnerabilities, which makes the employment of easily available inputs possible.”