Automated vulnerability analysis technique for smart grid infrastructure

Yoojin Kwon, Huy Kang Kim, Koudjo M. Koumadi, Yong Hun Lim, Jong In Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A smart grid is a fully automated power electricity network, which operates, protects and controls all its physical environments of power electricity infrastructure being able to supply energy in an efficient and reliable way. As the importance of cyber-physical system (CPS) security is growing, various vulnerability analysis methodologies for general systems have been suggested, whereas there has been few practical research targeting the smart grid infrastructure. In this paper, we highlight the significance of security vulnerability analysis in the smart grid environment. Then we introduce various automated vulnerability analysis techniques from executable files. In our approach, we propose a novel binary-based vulnerability discovery method for AMI and EV charging system to automatically extract security-related features from the embedded software. Finally, we present the test result of vulnerability discovery applied for AMI and EV charging system in Korean smart grid environment.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538628904
DOIs
Publication statusPublished - 2017 Oct 26
Event2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
Duration: 2017 Apr 232017 Apr 26

Other

Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
CountryUnited States
CityWashington
Period17/4/2317/4/26

Fingerprint

Smart Grid
Vulnerability
Electricity
Infrastructure
Embedded software
Embedded Software
Binary
Methodology
Energy
Cyber Physical System

Keywords

  • Cyber-physical system
  • Embedded software vulnerability discovery
  • Smart grid
  • Vulnerability analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Cite this

Kwon, Y., Kim, H. K., Koumadi, K. M., Lim, Y. H., & Lim, J. I. (2017). Automated vulnerability analysis technique for smart grid infrastructure. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 [8085965] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2017.8085965

Automated vulnerability analysis technique for smart grid infrastructure. / Kwon, Yoojin; Kim, Huy Kang; Koumadi, Koudjo M.; Lim, Yong Hun; Lim, Jong In.

2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8085965.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwon, Y, Kim, HK, Koumadi, KM, Lim, YH & Lim, JI 2017, Automated vulnerability analysis technique for smart grid infrastructure. in 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017., 8085965, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Washington, United States, 17/4/23. https://doi.org/10.1109/ISGT.2017.8085965
Kwon Y, Kim HK, Koumadi KM, Lim YH, Lim JI. Automated vulnerability analysis technique for smart grid infrastructure. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8085965 https://doi.org/10.1109/ISGT.2017.8085965
Kwon, Yoojin ; Kim, Huy Kang ; Koumadi, Koudjo M. ; Lim, Yong Hun ; Lim, Jong In. / Automated vulnerability analysis technique for smart grid infrastructure. 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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