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A study on software vulnerabilities and weaknesses of embedded systems in power networks
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0003-1464-6163
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0001-7386-7471
KTH, School of Electrical Engineering (EES), Network and Systems engineering.ORCID iD: 0000-0003-3089-3885
2017 (English)In: Proceedings - 2017 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2017 (part of CPS Week), Association for Computing Machinery, Inc , 2017, p. 47-52Conference paper (Refereed)
Abstract [en]

In this paper we conduct an empirical study with the purpose of identifying common software weaknesses of embedded devices used as part of industrial control systems in power grids. The data is gathered about the devices and software of 6 companies, ABB, General Electric, Schneider Electric, Schweitzer Engineering Laboratories, Siemens and Wind River. The study uses data from the manufacturersfi online databases, NVD, CWE and ICS CERT. We identified that the most common problems that were reported are related to the improper input validation, cryptographic issues, and programming errors.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2017. p. 47-52
Keywords [en]
Cyber security, Power networks, Software vulnerability CVSS, Electric network analysis, Electric power transmission networks, Embedded systems, Intelligent control, Laboratories, Network security, Smart power grids, Cryptographic issues, Engineering laboratories, Industrial control systems, Programming errors, Schneider electrics, Software vulnerabilities, Electric power system control
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-216531DOI: 10.1145/3055386.3055397Scopus ID: 2-s2.0-85019013078ISBN: 9781450349789 OAI: oai:DiVA.org:kth-216531DiVA, id: diva2:1160952
Conference
2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2017, 21 April 2017
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2017-11-28Bibliographically approved

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Välja, MargusKorman, MatusLagerström, Robert

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