[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness

G Bovenzi, G Aceto, D Ciuonzo, A Montieri… - Computers & …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a key enabler in closing the loop in Cyber-Physical
Systems, providing “smartness” and thus additional value to each monitored/controlled …

Deep learning-enabled anomaly detection for IoT systems

A Abusitta, GHS de Carvalho, OA Wahab, T Halabi… - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …

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 …

Anomaly detection model based on gradient boosting and decision tree for IoT environments security

M Douiba, S Benkirane, A Guezzaz… - Journal of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) refers to the widespread use of distributed intelligent objects
equipped with various components such as captors, activators, and processors that interact …

Intrusion detection systems for IoT-based smart environments: a survey

MF Elrawy, AI Awad, HFA Hamed - Journal of Cloud Computing, 2018 - Springer
One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …

[PDF][PDF] Investigation on intrusion detection systems (IDSs) in IoT

KK Vaigandla, N Azmi, RK Karne - International Journal of …, 2022 - researchgate.net
In smart environments, comfort and efficiency are important goals in terms of the quality of
human life. Recent developments in Internet of Things (IoT) technology have made it …

DÏoT: A federated self-learning anomaly detection system for IoT

TD Nguyen, S Marchal, M Miettinen… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
IoT devices are increasingly deployed in daily life. Many of these devices are, however,
vulnerable due to insecure design, implementation, and configuration. As a result, many …

READ-IoT: reliable event and anomaly detection framework for the Internet of Things

A Yahyaoui, T Abdellatif, S Yangui, R Attia - IEEE Access, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) enables a myriad of applications by interconnecting software to
physical objects. The objects range from wireless sensors to robots and include surveillance …

A hierarchical hybrid intrusion detection approach in IoT scenarios

G Bovenzi, G Aceto, D Ciuonzo… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) fosters unprecedented network heterogeneity and dynamicity, thus
increasing the variety and the amount of related vulnerabilities. Hence, traditional security …

A lightweight optimized deep learning-based host-intrusion detection system deployed on the edge for IoT

I Idrissi, M Mostafa Azizi… - International Journal of …, 2021 - journal.uob.edu.bh
The Internet of Things (IoT) is now present in every domain from applications in smart
homes, Smart Cities, Industrial Internet of Things (IIoT), such as e-Health, and beyond. The …