Automated vulnerability analysis technique for smart grid infrastructure

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

doi:10.1109/ISGT.2017.8085965

Automated vulnerability analysis technique for smart grid infrastructure

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

Graduate School of Information Security

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538628904
DOIs	https://doi.org/10.1109/ISGT.2017.8085965
Publication status	Published - 2017 Oct 26
Event	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States Duration: 2017 Apr 23 → 2017 Apr 26

Other

Other	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Country	United States
City	Washington
Period	17/4/23 → 17/4/26

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

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1109/ISGT.2017.8085965

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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 proceeding › Conference 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

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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.",

keywords = "Cyber-physical system, Embedded software vulnerability discovery, Smart grid, Vulnerability analysis",

author = "Yoojin Kwon and Kim, {Huy Kang} and Koumadi, {Koudjo M.} and Lim, {Yong Hun} and Lim, {Jong In}",

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PY - 2017/10/26

Y1 - 2017/10/26

N2 - 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.

AB - 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.

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KW - Embedded software vulnerability discovery

KW - Smart grid

KW - Vulnerability analysis

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Automated vulnerability analysis technique for smart grid infrastructure

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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