@inproceedings{ccd43037845e43819c6318a9dc667a12,
title = "Estimating the assessment difficulty of CVSS environmental metrics: An experiment",
abstract = "{\textcopyright} Springer International Publishing AG 2017.[Context] The CVSS framework provides several dimensions to score vulnerabilities. The environmental metrics allow security analysts to downgrade or upgrade vulnerability scores based on a company{\textquoteright}s computing environments and security requirements. [Question] How difficult is for a human assessor to change the CVSS environmental score due to changes in security requirements (let alone technical configurations) for PCI-DSS compliance for networks and systems vulnerabilities of different type? [Results] A controlled experiment with 29 MSc students shows that given a segmented network it is significantly more difficult to apply the CVSS scoring guidelines on security requirements with respect to a flat network layout, both before and after the network has been changed to meet the PCI-DSS security requirements. The network configuration also impact the correctness of vulnerabilities assessment at system level but not at application level. [Contribution] This paper is the first attempt to empirically investigate the guidelines for the CVSS environmental metrics. We discuss theoretical and practical key aspects needed to move forward vulnerability assessments for large scale systems.",
author = "L. Allodi and S. Biagioni and B. Crispo and K. Labunets and F. Massacci and W. Santos",
year = "2017",
doi = "10.1007/978-3-319-70004-5_2",
language = "English",
isbn = "9783319700038",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "23--39",
editor = "M. Takizawa and N. Thoai and E.J. Neuhold and T.K. Dang and R. Wagner and J. Kung",
booktitle = "Future Data and Security Engineering - 4th International Conference, FDSE 2017, Proceedings",
note = "4th International Conference on Future Data and Security Engineering, FDSE 2017 ; Conference date: 29-11-2017 Through 01-12-2017",
}