A lightweight IoT intrusion detection model based on improved BERT-of-Theseus

Z Wang, J Li, S Yang, X Luo, D Li… - Expert Systems with …, 2024 - Elsevier
The proliferation of Internet of Things (IoT) technology has resulted in an increase in security
vulnerabilities associated with the interconnectivity of IoT devices. As a result, there is a …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization

Z Wang, H Chen, S Yang, X Luo, D Li, J Wang - PeerJ Computer Science, 2023 - peerj.com
Intrusion detection ensures that IoT can protect itself against malicious intrusions in
extensive and intricate network traffic data. In recent years, deep learning has been …

DEMISe: Interpretable deep extraction and mutual information selection techniques for IoT intrusion detection

LR Parker, PD Yoo, TA Asyhari, L Chermak… - Proceedings of the 14th …, 2019 - dl.acm.org
Recent studies have proposed that traditional security technology--involving pattern-
matching algorithms that check predefined pattern sets of intrusion signatures--should be …

Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection

D Zegarra Rodríguez, O Daniel Okey, SS Maidin… - Plos one, 2023 - journals.plos.org
Recent years have witnessed an in-depth proliferation of the Internet of Things (IoT) and
Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing …

IoT intrusion detection system using deep learning and enhanced transient search optimization

A Fatani, M Abd Elaziz, A Dahou, MAA Al-Qaness… - IEEE …, 2021 - ieeexplore.ieee.org
The great advancements in communication, cloud computing, and the internet of things (IoT)
have opened critical challenges in security. With these developments, cyberattacks are also …

IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

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 …

Towards machine learning based IoT intrusion detection service

TA Mohamed, T Otsuka, T Ito - Recent Trends and Future Technology in …, 2018 - Springer
IoT Security is one of the most critical issues when developing, implementing and deploying
IoT platforms. IoT refers to the ability of communication, monitoring and remote control of …