| Title |
Digital Twin-Based Cyberthreat Defense Solution for Smart City Environment |
| ID_Doc |
37461 |
| Authors |
Park, YS; Ryou, JC |
| Title |
Digital Twin-Based Cyberthreat Defense Solution for Smart City Environment |
| Year |
2023 |
| Published |
|
| DOI |
10.22967/HCIS.2023.13.049 |
| Abstract |
The concept of digital twin (DT) has garnered considerable attention from researchers as it promises to revolutionize modern industries with recent advancements in information and communication technology. DT refers to a digital representation of a physical entity that reflects its behavior through real-time data management and bidirectional interaction. The power grid has seen reliable access to information with the deployment of the Internet of Things, which has equipped it with a powerful tool for real-time data management and analysis. This paper aims to propose practical ideas and trace the continuous investigation of DT technology for power systems, including transportation systems, smart grids, and microgrids. The challenges associated with the deployment of DT technology are also discussed. As cities continue to develop, multi-dimensional energy management systems face various challenges, such as real-time management, planning, and analysis of transportation systems and remote data transfer within power grids. These challenges can be addressed by implementing a real twin framework in each section. Additionally, this paper discusses the security of DT technology based on machine learning and provides a comprehensive view for readers to develop and deploy DT technology for various power system applications. |
| Author Keywords |
Digital Twin; Privacy; Security; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001093208400001 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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