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) …
An ensemble deep learning-based cyber-attack detection in industrial control system
A Al-Abassi, H Karimipour, A Dehghantanha… - Ieee …, 2020 - ieeexplore.ieee.org
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Steeleye: An application-layer attack detection and attribution model in industrial control systems using semi-deep learning
The security of Industrial Control Systems is of high importance as they play a critical role in
uninterrupted services provided by Critical Infrastructure operators. Due to a large number of …
uninterrupted services provided by Critical Infrastructure operators. Due to a large number of …
An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things
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 …
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …
Trustworthy and reliable deep-learning-based cyberattack detection in industrial IoT
A fundamental expectation of the stakeholders from the Industrial Internet of Things (IIoT) is
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
A review of AI-based cyber-attack detection and mitigation in microgrids
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …
in microgrids are presented from a cyber-security perspective of physical devices and …
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 …
Machine learning enabled industrial iot security: Challenges, trends and solutions
C Ni, SC Li - Journal of Industrial Information Integration, 2024 - Elsevier
Abstract Introduction: The increasingly integrated Industrial IoT (IIoT) with industrial systems
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …
Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
A novel federated edge learning approach for detecting cyberattacks in IoT infrastructures
The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …