연구 분야: Infrastructure
학회: Journal of Computing Sciences in Colleges, Volume 39, Issue 3
Digitalizing real-world assets has numerous benefits, including the algorithmic analysis of physical objects. Digital twin (DT) technology has evolved to further contribute with continuous real-time data valuable flow to the analysis. With this analysis comes a greater understanding of a problem, which, in turn, provides a more comprehensive solution. We will examine the definition of critical infrastructure, to understand better how DT technology can be applied in a large-scale physical environment. We then turn our focus to the components within the energy sector of critical infrastructure, including various Industrial Control Systems (ICS) components with a focus on sensor networks and Supervisory Control and Data Acquisition (SCADA) systems. With this understanding, we examine research pertinent to the key features of a DT and how that may be applied to the sensor and ICS networks. Field sensors within ICS are susceptible to semantic attacks leading to disruption of horizontal and lateral operations and systems. With this possibility, incident response algorithms can be implemented in a digital space of an energy grid to maintain security and operability during adverse conditions. This review intends to outline these core components for additional lab testing and research, analyzing the effectiveness of digital twins in securing operations of Industrial Control Systems in the energy sector.
| 발행 연도 | 2023년 |
|---|---|
| 인용수 | 1 |
| 출판 국가 | |
| 사이트 | ACM |
| 좋아요 수 | 0 |