Identification and evaluation of human errors in industrial control room using SHERPA method (case study: Safola‐Behshahr Industrial Company)
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DOI: 10.1002/prs.12691
Abstract: This research aimed to identify and evaluate human errors in an industrial control room using the SHERPA (Systematic Human Error Reduction and Prediction Approach) method. The statistical population consisted of control room operators from Safola‐Behshahr… read more here.
Keywords: control room; human errors; control; industrial control ... See more keywords
Multi-stage crypto ransomware attacks: A new emerging cyber threat to critical infrastructure and industrial control systems
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DOI: 10.1016/j.icte.2017.12.007
Abstract: Abstract The inevitable integration of critical infrastructure to public networks has exposed the underlying industrial control systems to various attack vectors. In this paper, we model multi-stage crypto ransomware attacks, which are today an emerging… read more here.
Keywords: multi stage; critical infrastructure; industrial control; ransomware ... See more keywords
Filters based Approach with Temporal and Combinational Constraints for Cybersecurity of Industrial Control Systems
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DOI: 10.1016/j.ifacol.2018.09.541
Abstract: Abstract Industrial Control Systems (ICS) are increasingly deployed in critical infrastructures. Originally designed to increase the productivity of ICS as well as safety and reliability, nowadays these systems are becoming the target of hackers. Several… read more here.
Keywords: detection; control systems; filters based; industrial control ... See more keywords
Opportunities for Industrial Control
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DOI: 10.1016/j.ifacol.2020.12.1951
Abstract: Abstract Programmable Logic Controllers are an established platform used throughout industrial automation, but rather poorly understood among researchers in the control systems community. This paper gives an overview of the state of the practice in… read more here.
Keywords: opportunities industrial; industrial control; automation; control ... See more keywords
Multi-level adaptive coupled method for industrial control networks safety based on machine learning
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DOI: 10.1016/j.ssci.2019.07.012
Abstract: Abstract In response to the problem of low detection rate on different types of attacks in industrial control networks safety by traditional single detection algorithm models, a multi-level adaptive coupled method combining white list technology… read more here.
Keywords: adaptive coupled; machine; control networks; industrial control ... See more keywords
Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning
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DOI: 10.1038/s41598-025-89650-5
Abstract: The reliability of Industrial Control Systems (ICS) is crucial given their substantial importance in society and business. These systems are susceptible to physical and cyber-attacks, which can seriously affect human life and the economy. Given… read more here.
Keywords: detection; framework; cyber attacks; control systems ... See more keywords
An Enhanced Multi-Stage Semantic Attack Against Industrial Control Systems
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DOI: 10.1109/access.2019.2949645
Abstract: Industrial Control Systems (ICS) play a very important role in national critical infrastructures. However, the growing interaction between the modern ICS and the Internet has made ICS more vulnerable to cyber attacks. In order to… read more here.
Keywords: enhanced multi; control; attack; multi stage ... See more keywords
A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems
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DOI: 10.1109/access.2020.2965259
Abstract: With the advent of software technologies, over a period of time, the Industrial Control Systems (ICSs) have grown exponentially. Whereas, almost all ICSs comprise Human Machine Interfaces (HMIs), which are the key component for monitoring… read more here.
Keywords: mobile hmi; bold bold; industrial control; hmi screens ... See more keywords
Multivariate Abnormal Detection for Industrial Control Systems Using 1D CNN and GRU
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DOI: 10.1109/access.2020.2993335
Abstract: Currently, most anomaly detection approaches in industrial control systems (ICSs) use network event logs to build models, and current unsupervised machine learning methods rarely use spatiotemporal correlations and other dependencies between multiple variables (sensors/actuators) in… read more here.
Keywords: detection industrial; industrial control; anomaly detection; control systems ... See more keywords
A Cyber-Security Methodology for a Cyber-Physical Industrial Control System Testbed
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DOI: 10.1109/access.2021.3053135
Abstract: Due to recent increase in deployment of Cyber-Physical Industrial Control Systems in different critical infrastructures, addressing cyber-security challenges of these systems is vital for assuring their reliability and secure operation in presence of malicious cyber… read more here.
Keywords: methodology; physical industrial; real time; cyber physical ... See more keywords
A Threat Hunting Framework for Industrial Control Systems
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DOI: 10.1109/access.2021.3133260
Abstract: An Industrial Control System (ICS) adversary often takes different actions to exploit vulnerabilities, pass the border between Information Technology (IT) and Operational Technology (OT) networks, and launch a targeted attack against OT networks. Detecting these… read more here.
Keywords: threat hunting; threat; industrial control; hunting framework ... See more keywords