[Retracted] An Improved Deep Belief Network IDS on IoT‐Based Network for Traffic Systems

R Malik, Y Singh, ZA Sheikh, P Anand… - Journal of Advanced …, 2022 - Wiley Online Library
Internet of things (IoT) services are turning out to be more domineering with the rising
security considerations fading with time. All this owes to the propagating heterogeneity and …

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 …

“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 …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

[PDF][PDF] Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions

T Vaiyapuri, Z Sbai, H Alaskar… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative
technology with a potential to digitize and interconnect many industries for huge business …

Dynamic distributed generative adversarial network for intrusion detection system over internet of things

S Balaji, SS Narayanan - Wireless Networks, 2023 - Springer
Abstract The Internet of Things (IoT) intelligently facilitates individuals interacting with the
real-world applications which forms smart environment through internet connectivity at …

[HTML][HTML] MUD enabled deep learning framework for anomaly detection in IoT integrated smart building

S Mirdula, M Roopa - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
Abstract Nowadays, many Internet of Things (IoT) devices of different types are used in
creating smart applications like smart cities, smart industries, smart environments, and the …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

Y Otoum, D Liu, A Nayak - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

[PDF][PDF] Towards Machine Learning Based Intrusion Detection in IoT Networks.

N Islam, F Farhin, I Sultana, MS Kaiser… - … Materials & Continua, 2021 - cdn.techscience.cn
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart
nodes that communicate with each other without human intervention. In recent years, IoT …