Vulnerability Identification and Assessment for Critical Infrastructures in the Energy Sector

Author:

Nikolaou Nikolaos1,Papadakis Andreas12ORCID,Psychogyios Konstantinos1ORCID,Zahariadis Theodore13ORCID

Affiliation:

1. Synelixis Solutions S.A., GR34100 Chalkida, Greece

2. Department of Electrical and Electronics Engineering Educators, School of Pedagogical and Technological Education, GR15122 Athens, Greece

3. General Department, National and Kapodistrian University of Athens, GR15772 Athens, Greece

Abstract

Vulnerability identification and assessment is a key process in risk management. While enumerations of vulnerabilities are available, it is challenging to identify vulnerability sets focused on the profiles and roles of specific organizations. To this end, we have employed systematized knowledge and relevant standards (including National Electric Sector Cybersecurity Organization Resource (NESCOR), ISO/IEC 27005:2018 and National Vulnerability Database (NVD)) to identify a set of 250 vulnerabilities for operators of energy-related critical infrastructures. We have elaborated a “double-mapping” scheme to associate (arbitrarily) categorized assets, with the pool of identified Physical, Cyber and Human/Organizational vulnerabilities. We have designed and implemented an extensible vulnerability identification and assessment framework, allowing historized assessments, based on the CVSS (Common Vulnerability Scoring System) scoring mechanism. This framework has been extended to allow modelling of the vulnerabilities and assessments using the Structured Threat Information eXpression (STIX) JSON format, as Cyber Threat Intelligence (CTI) information, to facilitate information sharing between Electrical Power and Energy Systems (EPES) and to promote collaboration and interoperability scenarios. Vulnerability assessments from the initial analysis of the project in the context of Research and Technology Development (RTD) projects have been statistically processed, offering insights in terms of the assessment’s importance and distribution. The assessments have also been transformed into a dynamic dataset processed to identify and quantify correlation and start the discussion on the interpretation of the way assessments are performed.

Funder

Cyber Securing Energy Data Services

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference31 articles.

1. (2023, April 03). Common Vulnerability Scoring System Version 3.1, Specification Document, Revision 1, first.org, June 2019. Available online: https://www.first.org/cvss/v3.1/specification-document.

2. (2023, April 03). OASIS Standard, STIX Version 2.1. Available online: https://docs.oasis-open.org/cti/stix/v2.1/os/stix-v2.1-os.html.

3. (2018). Information Technology—Security Techniques—Information Security Risk Management (Standard No. ISO/IEC 27005).

4. (2023, April 03). MITRE: Common Vulnerabilities and Exposures (CVE). Available online: https://cve.mitre.org/.

5. Booth, H., Rike, D., and Witte, G. (2023, July 21). The National Vulnerability Database (NVD): Overview, Available online: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915172.

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