Paper Info
Title
Cascading Failure Dynamics Against Intentional Attack For Interdependent Industrial Internet Of Things
Abstract
The emerging Industrial Internet of Things (IIoT) provides industries with an opportunity to collect, aggregate, and analyze data from sensors, including motion control, machine-to-machine communication, predictive maintenance, smart energy grid, big data analysis, and other smart connected medical systems. The physical systems and the cyber systems are organically integrated, forming an interdependent IIoT. This system provides us with enormous advantages, but at the same time, it also introduces the main safety challenges in the design and operation phase. To exploit the security threats of IIoT systems, in this paper, we propose a novel security-by-design approach for interdependent IIoT environments across two different levels, namely, theory modeling and runtime simulation. Our method theoretically analyzes the cascading failure dynamics of the intentional attack network. Simultaneously, we verified the theoretical results through simulations and gave the risk factors that affect the system's security to mitigate potential security attack threats. Besides, we prove its applicability through comparative simulation experiments to study application environments that rely on IIoT, which shows that our method helps identify risk factors and mitigate IIoT attacks' mechanism.
Year
DOI
Venue
2021
10.1155/2021/7181431
COMPLEXITY
DocType
Volume
ISSN
Journal
2021
1076-2787
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Hao Peng101.35
Zhen Qian200.34
Zhe Kan321.38
Dandan Zhao401.69
Juan Yu500.34
Jianmin Han6368.16