Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT

F Farivar, MS Haghighi, A Jolfaei… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a hybrid intelligent-classic control approach for reconstruction and
compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems …

[HTML][HTML] Machine learning for securing Cyber–Physical Systems under cyber attacks: A survey

C Fei, J Shen - Franklin Open, 2023 - Elsevier
With the proliferation of cyber attacks targeting cyber–physical systems (CPS), ensuring the
security of CPS under such attacks has become increasingly challenging. Machine learning …

Deep learning based semi-supervised control for vertical security of maglev vehicle with guaranteed bounded airgap

Y Sun, J Xu, H Wu, G Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The vertical security problem of maglev train is challenging for nonlinearity, external
disturbances, unmeasurable airgap velocity and constrained output. To solve this problem, a …

Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques

AA AlZubi, M Al-Maitah, A Alarifi - Soft Computing, 2021 - Springer
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …

Using blockchain for data collection in the automotive industry sector: A literature review

A Mohammad, S Vargas, P Čermák - Journal of Cybersecurity and …, 2022 - mdpi.com
Today's cars can share data with other cars, automakers, and service providers. Shared data
can help improve the driving experience, the performance of the car, and the traffic …

Cyber attacks via consumer electronics: Studying the threat of covert malware in smart and autonomous vehicles

MS Haghighi, F Farivar, A Jolfaei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

On the security of networked control systems in smart vehicle and its adaptive cruise control

F Farivar, MS Haghighi, A Jolfaei… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the benefits of Internet of Vehicles (IoV) paradigm, come along unprecedented security
challenges. Among many applications of inter-connected systems, vehicular networks and …

Application of fuzzy learning in IoT-enabled remote healthcare monitoring and control of anesthetic depth during surgery

F Farivar, A Jolfaei, M Manthouri, MS Haghighi - Information Sciences, 2023 - Elsevier
Smart remote patient monitoring and early disease diagnosis systems have made huge
progresses after the introduction of Internet of Things (IoT) and Artificial Intelligence (AI) …

A machine-learning-based approach to build zero-false-positive IPSs for industrial IoT and CPS with a case study on power grids security

MS Haghighi, F Farivar, A Jolfaei - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …