Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
Deep learning based attack detection for cyber-physical system cybersecurity: A survey
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
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 …
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
A survey on network security for cyber–physical systems: From threats to resilient design
Cyber-physical systems (CPS) are considered the integration of physical systems in the real
world and control software in computing systems. In CPS, the real world and the computing …
world and control software in computing systems. In CPS, the real world and the computing …
Analysis of safety and security challenges and opportunities related to cyber-physical systems
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
Toward detection and attribution of cyber-attacks in IoT-enabled cyber–physical systems
AN Jahromi, H Karimipour… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Securing Internet-of-Things (IoT)-enabled cyber-physical systems (CPS) can be challenging,
as security solutions developed for general information/operational technology (IT/OT) …
as security solutions developed for general information/operational technology (IT/OT) …
A new explainable deep learning framework for cyber threat discovery in industrial IoT networks
Industrial Internet of Things (IIoT) and Industry 4.0 empower interrelation among
manufacturing processes, industrial machines, and utility services. The time-critical data …
manufacturing processes, industrial machines, and utility services. The time-critical data …
IADF-CPS: Intelligent anomaly detection framework towards cyber physical systems
SM Nagarajan, GG Deverajan, AK Bashir… - Computer …, 2022 - Elsevier
Abstract Cyber–Physical Systems (CPSs) becoming one of the most complex, intelligent,
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …