Using neural networks to aid CVSS risk aggregation — An empirically validated approach-Reference-Cited by-同舟云学术

Using neural networks to aid CVSS risk aggregation — An empirically validated approach

Published:2016-12 Issue:2 Volume:3 Page:148-154
ISSN:2352-6645
Container-title:Journal of Innovation in Digital Ecosystems
language:en
Short-container-title:Journal of Innovation in Digital Ecosystems

Author:

Beck Alexander,Rass Stefan^ORCID

Publisher

Elsevier BV

Reference17 articles.

1. Security risk aggregation based on neural networks–An empirically validated approach;Beck,2016

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3. Forum of Incident Response and Security Teams (first.org); Common Vulnerability Scoring System CVSS v3.0 Specification, 2015. https://www.first.org/cvss/cvss-v30-specification-v1.7.pdf.

4. An online dynamic security assessment scheme using phasor measurements and decision trees;Sun;IEEE Trans. Power Syst.,2007

5. An overview of risk based security assessment;McCalley,1999

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