UIoTN‐PMSE: Ubiquitous IoT network‐based predictive modeling in smart environment

M Karuppiah, TV Ramana, R Mohanty… - International Journal …, 2023 - Wiley Online Library
We proposed a three‐stage intrusion detection system that utilizes a predictive machine
learning model to identify and mitigate attacks on ubiquitous network. In the first stage, we …

[PDF][PDF] Machine Learning-based Intrusion Detection Technique for IoT: Simulation with Cooja

A Farea, K Küçük - International Journal of Computer Network and …, 2024 - researchgate.net
The Internet of Things (IoT) is one of the promising technologies of the future. It offers many
attractive features that we depend on nowadays with less effort and faster in real-time …

Anomaly-based intrusion detection system for IoT networks with improved data engineering

AA Alsulami, QA Al-Haija, A Tayeb - 2022 - preprints.org
Abstract Nowadays, the Internet of Things (IoT) devices and applications have rapidly
expanded worldwide due to their benefits in improving the business environment, industrial …

A machine-learning-based Intrusion detection for IIoT infrastructure

S Aftab, ZS Shah, SA Memon… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is rapidly expanding in the industrial sector, and it is critical
to ensure the security of IIoT systems against cyber threats. This paper proposes an intrusion …

[HTML][HTML] An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

[HTML][HTML] Towards an explainable universal feature set for IoT intrusion detection

MM Alani, A Miri - Sensors, 2022 - mdpi.com
As IoT devices' adoption grows rapidly, security plays an important role in our daily lives. As
part of the effort to counter these security threats in recent years, many IoT intrusion …

A novel intrusion detection method based on lightweight neural network for internet of things

R Zhao, G Gui, Z Xue, J Yin, T Ohtsuki… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

Enhanced security for IoT networks: a hybrid optimized learning model for intrusion classification

S Rajarajan, MG Kavitha - Sādhanā, 2024 - Springer
Abstract The Internet of Things (IoT) features multiple device connectivity and breaks the
conventional network connectivity limitations like limited wireless range, scalability specific …

The Top Ten Artificial Intelligence-Deep Neural Networks for IoT Intrusion Detection System

V Kanimozhi, TP Jacob - Wireless Personal Communications, 2023 - Springer
Despite the fact that there are numerous methods for detecting IoT intrusions, this research
explorations conducted the implementation of the Top 10 Artificial Intelligence—Deep neural …

[HTML][HTML] Intrusion detection models for IOT networks via deep learning approaches

B Madhu, MVG Chari, R Vankdothu, AK Silivery… - Measurement …, 2023 - Elsevier
Abstract The Internet of things (IoT) has gained more attention in recent years because of its
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …