Bridging the Cybersecurity Gap: A Comprehensive Analysis of Threats to Power Systems, Water Storage, and Gas Network Industrial Control and Automation Systems

T Gueye, A Iqbal, Y Wang, RT Mushtaq, MI Petra - Electronics, 2024 - mdpi.com
This research addresses the dearth of real-world data required for effective neural network
model building, delving into the crucial field of industrial control and automation system …

Neuro-Robotic Synergy: Crafting the Secure Future of Industries in the Post Pandemic Era

T Gueye, A Iqbal, Y Wang, RT Mushtaq, MSA Bakar - Electronics, 2023 - mdpi.com
In recent years, ICSs have become increasingly commonplace in virtually every industry.
The abbreviation “ICSs” refers to industrial control systems. These are specially designed …

Developing an efficient attack detection model for an industrial control system using CNN-based approaches: attack detection using PS-CNN

AH Mohammed - 2023 - theseus.fi
Industrial Control Systems (ICS) critical infrastructures, including thermal plants, water
treatment plants, nuclear plants, oil refineries, and gas pipelines, rely on uninterrupted …

Advancing IoT Cybersecurity: Adaptive Threat Identification with Deep Learning in Cyber-Physical Systems

C Atheeq, R Sultana, SA Sabahath… - … , Technology & Applied …, 2024 - etasr.com
Abstract Securing Internet of Things (IoT)-enabled Cyber-Physical Systems (CPSs) can be
challenging because security solutions intended for typical IT/OT systems may not be as …

Falcon: Framework for anomaly detection in industrial control systems

S Sapkota, AKMN Mehdy, S Reese, H Mehrpouyan - Electronics, 2020 - mdpi.com
Industrial Control Systems (ICS) are used to control physical processes in critical
infrastructure. These systems are used in a wide variety of operations such as water …

Detecting cyber attacks in industrial control systems using convolutional neural networks

M Kravchik, A Shabtai - Proceedings of the 2018 workshop on cyber …, 2018 - dl.acm.org
This paper presents a study on detecting cyber attacks on industrial control systems (ICS)
using convolutional neural networks. The study was performed on a Secure Water …

NexGuard: Industrial Cyber-Physical System Défense Using Ensemble Feature Selection and Explainable Deep Learning Techniques

S Krishnaveni, S Sivamohan, TM Chen… - 2023 2nd …, 2023 - ieeexplore.ieee.org
In recent years, industrial cyber-physical systems (ICPS) have advanced rapidly, resulting in
sophisticated and intelligent networks of industrial devices and systems. These networks …

Comparison and investigation of AI-based approaches for cyberattack detection in cyber-physical systems

M Abdullahi, H Alhussian, N Aziz, SJ Abdulkadir… - IEEE …, 2024 - ieeexplore.ieee.org
The demand for cyber-physical systems (CPSs) has recently increased in various domains,
such as smart grids, intelligent transportation, and critical infrastructure. The massive data …

Cyber-Attacks in IoT-enabled Cyber-physical Systems

SS Latha, KMS Goud, PMSC Reddy… - ITM Web of …, 2023 - itm-conferences.org
Cyber physical systems (CPS) that are Internet of Things (IoT) enabled might be difficult to
secure since security measures designed for general data/value through the development …

Deep learning model for cybersecurity attack detection in cyber-physical systems

M Abdullahi, H Alhussian, N Aziz… - 2022 6th …, 2022 - ieeexplore.ieee.org
In recent years, there has been an increasing demand for computing devices in cyber-
physical systems (CPS), which include smart manufacturing, air intelligent transportation …