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 …

[HTML][HTML] An explainable deep learning-enabled intrusion detection framework in IoT networks

M Keshk, N Koroniotis, N Pham, N Moustafa… - Information …, 2023 - Elsevier
Although the field of eXplainable Artificial Intelligence (XAI) has a significant interest these
days, its implementation within cyber security applications still needs further investigation to …

“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 …

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 …

A lightweight supervised intrusion detection mechanism for IoT networks

S Roy, J Li, BJ Choi, Y Bai - Future Generation Computer Systems, 2022 - Elsevier
Abstract As the Internet of Things (IoT) is becoming increasingly popular, we have
experienced more security breaches that are associated with the connection of vulnerable …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

Domain knowledge aided explainable artificial intelligence for intrusion detection and response

SR Islam, W Eberle, SK Ghafoor, A Siraj… - arXiv preprint arXiv …, 2019 - arxiv.org
Artificial Intelligence (AI) has become an integral part of modern-day security solutions for its
ability to learn very complex functions and handling" Big Data". However, the lack of …

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 …

A survey on explainable artificial intelligence for cybersecurity

G Rjoub, J Bentahar, OA Wahab… - … on Network and …, 2023 - ieeexplore.ieee.org
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …

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 …