Toward Enhanced Attack Detection and Explanation in Intrusion Detection System-Based IoT Environment Data

RW Wardhani, DSC Putranto, U Jo, H Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Securing the Internet of Things (IoT) against cyber threats is a formidable challenge, and
Intrusion Detection Systems (IDS) play a critical role in this effort. However, the lack of …

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 …

TON_IoT telemetry dataset: A new generation dataset of IoT and IIoT for data-driven intrusion detection systems

A Alsaedi, N Moustafa, Z Tari, A Mahmood… - Ieee …, 2020 - ieeexplore.ieee.org
Although the Internet of Things (IoT) can increase efficiency and productivity through
intelligent and remote management, it also increases the risk of cyber-attacks. The potential …

Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

A Almotairi, S Atawneh, OA Khashan… - Systems Science & …, 2024 - Taylor & Francis
Internet of Things (IoT) technology has evolved significantly, transitioning from personal
devices to powering smart cities and global deployments across diverse industries …

“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 …

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 …

Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …

A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions

S Arisdakessian, OA Wahab, A Mourad… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P Xiong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

A feature exploration approach for IoT attack type classification

M Erfani, F Shoeleh, S Dadkhah, B Kaur… - 2021 IEEE Intl Conf …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices' unique identity and adequate network infrastructure of
physical objects em-bedded with software, actuators, and sensors create an open …