Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT
This article proposes a hybrid intelligent-classic control approach for reconstruction and
compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems …
compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems …
Threat analysis for automotive CAN networks: A GAN model-based intrusion detection technique
With the rapid development of Internet of vehicles, connected vehicles, autonomous
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
vehicles, and autonomous driving technologies, automotive Controller Area Networks (CAN) …
Cyber attacks via consumer electronics: Studying the threat of covert malware in smart and autonomous vehicles
In Industry 5.0, man and machine work alongside each other in production, but smart and
autonomous vehicles are examples that show this notion is now being extended to the end …
autonomous vehicles are examples that show this notion is now being extended to the end …
Detection of anomalies in industrial iot systems by data mining: Study of christ osmotron water purification system
MSS Garmaroodi, F Farivar… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Industry 4.0 will make manufacturing processes smarter but this smartness requires more
environmental awareness, which in case of Industrial Internet of Things, is realized by the …
environmental awareness, which in case of Industrial Internet of Things, is realized by the …
On the security of networked control systems in smart vehicle and its adaptive cruise control
With the benefits of Internet of Vehicles (IoV) paradigm, come along unprecedented security
challenges. Among many applications of inter-connected systems, vehicular networks and …
challenges. Among many applications of inter-connected systems, vehicular networks and …
A secure and decentralized trust management scheme for smart health systems
The Internet of Things (IoT) growth is extremely fast and it now has found its way to
healthcare applications too. Many smart health gadgets and devices are helping …
healthcare applications too. Many smart health gadgets and devices are helping …
Covert attacks through adversarial learning: Study of lane keeping attacks on the safety of autonomous vehicles
Road management systems are to improve in terms of integrity, mobility, sustainability, and
safety by the adoption of artificial intelligence and Internet of Things services. This article …
safety by the adoption of artificial intelligence and Internet of Things services. This article …
A machine-learning-based approach to build zero-false-positive IPSs for industrial IoT and CPS with a case study on power grids security
Intrusion prevention systems have long been the first layer of defense against malicious
attacks. Most sensitive systems employ instances of them (eg, Firewalls) to secure the …
attacks. Most sensitive systems employ instances of them (eg, Firewalls) to secure the …
Resilient neural network-based control of nonlinear heterogeneous multi-agent systems: a cyber-physical system approach
L Khoshnevisan, X Liu - Nonlinear Dynamics, 2023 - Springer
Resilient control and cyber security are of great importance for multiagent systems (MASs)
due to the vulnerability during their coordination through information interaction among …
due to the vulnerability during their coordination through information interaction among …
Intelligent robust control for cyber-physical systems of rotary gantry type under denial of service attack
This paper presents an approach for tolerant control and compensation of cyber attacks on
the inputs and outputs of a cyber-physical system of rotary gantry type. The proposed control …
the inputs and outputs of a cyber-physical system of rotary gantry type. The proposed control …