.png){kind=icon}
返回
Analyzing Cyber-Physical Modularity and Interdependence Using Bio-Inspired Graph Modeling
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2024.3450368.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Modern power grids and other complex systems are a fusion of physical and cyber components, giving rise to intricate interdependencies. These interdependencies, however, also expose vulnerabilities that can be exploited by adversaries. This paper delves into the critical examination of these interconnections, inspired by Ecological Network Analysis (ENA). By drawing from ecological modeling, we aim to understand the role of cyber-physical interdependencies in the resilience of complex systems. We introduce various modeling methods, including bipartite and tripartite networks, to analyze and map these interdependencies in the context of the IEEE WSCC 9-bus and the ACTIV 200-bus case study. The paper explores how these models can identify key actors and assess network resilience. Through a detailed methodology, we apply ecological metrics and community identification techniques to comprehensively evaluate the system's interactions. The findings offer insights into the interplay of cyber and physical elements in power grids and other complex systems. These analysis methods show that tripartite networks produce more information on indirect interactions within a complex network. Additionally, they provide detailed information on how disturbances could propagate in a cyber-physical power system. Denial of service scenarios for the WSCC 9-bus and the ACTIV 200-bus case studies are employed to support this conclusion.
Keyword:
Analytical models
Resilience
Biological system modeling
Measurement
Cyber-physical systems
Power grids
Network analyzers
Graph theory
resilience
sustainability
graph theory
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Different microRNA profiles reveal the diverse outcomes induced by EV71 and CA16 infection in human umbilical vein endothelial cells using high-throughput sequencing.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏The influence of floral traits on specialization and modularity of plant-pollinator networks in a biodiversity hotspot in the Peruvian Andes在秘鲁安第斯山脉的生物多样性热点中，花卉性状对植物传粉者网络的专业化和模块化的影响ANNALS OF BOTANYOAAI
ANNALS OF BOTANYIF3.6
OAAI分享收藏分享收藏
查看更多内容