Estimating the Assessment Difficulty of CVSS Environmental Metrics: An Experiment

Luca Allodi, Silvio Biagioni, Bruno Crispo, Katiaryna Labunets, Fabio Massacci, Wagner Santos

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)
2381 Downloads (Pure)

Abstract

[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’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.
Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Future Data and Security Engineering, FDSE 2017
EditorsTran Khanh Dang, Roland Wagner, Josef Küng, Nam Thoai, Makoto Takizawa, Erich J. Neuhold
PublisherSpringer
Pages23-39
Number of pages17
ISBN (Print)978-3-319-70003-8
DOIs
Publication statusPublished - 2017
EventInternational Conference on Future Data and Security Engineering - Ho Chi Minh City, Viet Nam
Duration: 29 Nov 20171 Dec 2017
Conference number: 4
http://www.cse.hcmut.edu.vn/fdse2017/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10646
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Future Data and Security Engineering
Abbreviated titleFDSE
CountryViet Nam
CityHo Chi Minh City
Period29/11/171/12/17
Internet address

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