[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
Safety and security risk assessment in cyber‐physical systems
The term cyber physical systems (CPS) refers to a new generation of systems with integrated
computational and physical capabilities through computation, communication, and control …
computational and physical capabilities through computation, communication, and control …
Cyber-physical energy systems security: Threat modeling, risk assessment, resources, metrics, and case studies
Cyber-physical systems (CPS) are interconnected architectures that employ analog and
digital components as well as communication and computational resources for their …
digital components as well as communication and computational resources for their …
Highly-accurate community detection via pointwise mutual information-incorporated symmetric non-negative matrix factorization
Community detection, aiming at determining correct affiliation of each node in a network, is a
critical task of complex network analysis. Owing to its high efficiency, Symmetric and Non …
critical task of complex network analysis. Owing to its high efficiency, Symmetric and Non …
A unified architectural approach for cyberattack-resilient industrial control systems
C Zhou, B Hu, Y Shi, YC Tian, X Li… - Proceedings of the …, 2020 - ieeexplore.ieee.org
With the rapid development of functional requirements in the emerging Industry 4.0 era,
modern industrial control systems (ICSs) are no longer isolated islands, making them more …
modern industrial control systems (ICSs) are no longer isolated islands, making them more …
A hierarchical detection and response system to enhance security against lethal cyber-attacks in UAV networks
H Sedjelmaci, SM Senouci… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) networks have not yet received considerable research
attention. Specifically, security issues are a major concern because such networks, which …
attention. Specifically, security issues are a major concern because such networks, which …
State of charge estimation of lithium-ion batteries based on temporal convolutional network and transfer learning
Y Liu, J Li, G Zhang, B Hua, N Xiong - Ieee Access, 2021 - ieeexplore.ieee.org
Accurate estimation of the state of charge (SOC) is critical for the normal use of lithium-ion
battery equipment like electric vehicles. However, the SOC of lithium-ion battery is not …
battery equipment like electric vehicles. However, the SOC of lithium-ion battery is not …
A fuzzy probability Bayesian network approach for dynamic cybersecurity risk assessment in industrial control systems
With the increasing deployment of data network technologies in industrial control systems
(ICSs), cybersecurity becomes a challenging problem in ICSs. Dynamic cybersecurity risk …
(ICSs), cybersecurity becomes a challenging problem in ICSs. Dynamic cybersecurity risk …
Smart grid cyber-physical systems: Communication technologies, standards and challenges
The recent developments in embedded system design and communication technologies
popularized the adaption of the cyber-physical system (CPS) for practical applications. A …
popularized the adaption of the cyber-physical system (CPS) for practical applications. A …
Auto-FERNet: A facial expression recognition network with architecture search
Deep convolutional neural networks have achieved great success in facial expression
datasets both under laboratory conditions and in the wild. However, most of these related …
datasets both under laboratory conditions and in the wild. However, most of these related …