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 …

“why should i trust your ids?”: An explainable deep learning framework for intrusion detection systems in internet of things networks

Z Abou El Houda, B Brik… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging paradigm that is turning and revolutionizing
worldwide cities into smart cities. However, this emergence is accompanied with several …

An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks

A Oseni, N Moustafa, G Creech… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …

[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems

IA Khan, M Keshk, D Pi, N Khan, Y Hussain, H Soliman - Ad Hoc Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) networks involves heterogeneous technological
and manufacturing services and devices. The communication and data exchange …

A novel IoT-based explainable deep learning framework for intrusion detection systems

Z Abou El Houda, B Brik… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The growth of the Internet of Things (IoT) is accompanied by serious cybersecurity risks,
especially with the emergence of IoT botnets. In this context, intrusion detection systems …

An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things

K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …

An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things

K Hassini, S Khalis, O Habibi, M Chemmakha… - Knowledge-Based …, 2024 - Elsevier
Abstract The Industrial-Internet of Things (I-IoT) stands out as one of the most dynamically
evolving subfields within the expansive realm of the Internet of Things (IoT). Its exponential …

Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …