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 |
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| 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 | |
| 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