TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization

S Sivamohan, SS Sridhar, S Krishnaveni - Peer-to-Peer Networking and …, 2023 - Springer
Industrial cyber-physical systems (CPS) are vulnerable to cyberattacks that can compromise
their operations, safety, and security. Traditional intrusion detection systems are ineffective …

DeepFed: Federated deep learning for intrusion detection in industrial cyber–physical systems

B Li, Y Wu, J Song, R Lu, T Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid convergence of legacy industrial infrastructures with intelligent networking and
computing technologies (eg, 5G, software-defined networking, and artificial intelligence) …

Hybrid honey badger-world cup algorithm-based deep learning for malicious intrusion detection in industrial control systems

S Nagarajan, S Kayalvizhi, R Subhashini… - Computers & Industrial …, 2023 - Elsevier
The security analysis has become the hotspot concern in Industrial Control Systems (ICSs)
that grabs the research attention in today's era. Owing to the rapid admittance of the …

An Explainable Ensemble Deep Learning Approach for Intrusion Detection in Industrial Internet of Things

MK Hasan, R Sulaiman, S Islam, AU Rehman - IEEE Access, 2023 - ieeexplore.ieee.org
Ensuring the security of critical Industrial Internet of Things (IIoT) systems is of utmost
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …

Sco-rnn: A behavioral-based intrusion detection approach for cyber physical attacks in scada systems

N Neha, S Priyanga, S Seshan, R Senthilnathan… - … : Proceedings of ICICCT …, 2020 - Springer
Supervisory control and data acquisition (SCADA) systems monitor and control the critical
infrastructures (CI) such as power generation, smart grids, oil–gas pipelines, wastewater …

An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems

MM Althobaiti, KPM Kumar, D Gupta, S Kumar… - Measurement, 2021 - Elsevier
Abstract Advanced developments of Industrial Cyber-Physical Systems (CPSs), comprising
Internet of Things (IoT) finds useful in several application areas such as transportation, smart …

An explainable and resilient intrusion detection system for industry 5.0

D Javeed, T Gao, P Kumar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Industry 5.0 is a futuristic transformative model that aims to develop a hyperconnected,
automated, and data-driven industrial ecosystem. This digital transformation will boost …

An adaptive machine learning-based threat detection framework for industrial communication networks

S Bebortta, SK Singh - 2021 10th IEEE International conference …, 2021 - ieeexplore.ieee.org
The development in sophisticated sensory devices has largely revolutionized industrial
control systems (ICS). With the popularity of the fourth industrial revolution, which is also …

Evolutionary deep belief network for cyber-attack detection in industrial automation and control system

KD Lu, GQ Zeng, X Luo, J Weng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industrial automation and control systems (IACS) are tremendously employing supervisory
control and data acquisition (SCADA) network. However, their integration into IACS is …

[HTML][HTML] Explainable artificial intelligence enabled intrusion detection technique for secure cyber-physical systems

L Almuqren, MS Maashi, M Alamgeer, H Mohsen… - Applied Sciences, 2023 - mdpi.com
A cyber-physical system (CPS) can be referred to as a network of cyber and physical
components that communicate with each other in a feedback manner. A CPS is essential for …