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2020
Conference Paper
Title

Environmental aware vulnerability scoring

Abstract
When assessing the CVSS value of a vulnerability, the Environmental Metrics are often ignored. There are several reasons for this. However, this score is essential for the prioritization of vulnerabilities. The author proposes an approach that should generate the environmental score systematically and highly automated. For this purpose, various information about the systems and the network is needed, which should be managed in a model. An algorithm uses the linked information to automatically determine the Environmental Metrics. Experts without a security background should thus be able to determine this score in the same way as experts. The results should also be repeatable and independent of the evaluator.
Author(s)
Eitel, Andreas  orcid-logo
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Mainwork
5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020. Proceedings  
Conference
International Conference on Internet of Things, Big Data and Security (IoTBDS) 2020  
Open Access
DOI
10.5220/0009839104780485
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • CVSS

  • Environmental Metrics

  • IT-security

  • Network Security

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