[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 …

Adriot: An edge-assisted anomaly detection framework against iot-based network attacks

R Li, Q Li, J Zhou, Y Jiang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) has entered a stage of rapid development and increasing
deployment. Meanwhile, these low-power devices typically cannot support complex security …

Unsupervised machine learning for network-centric anomaly detection in IoT

R Bhatia, S Benno, J Esteban, TV Lakshman… - Proceedings of the 3rd …, 2019 - dl.acm.org
Industry 4.0 holds the promise of greater automation and productivity but also introduces
new security risks to critical industrial control systems from unsecured devices and …

Practical intrusion detection of emerging threats

R Mills, AK Marnerides, M Broadbent… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT), in combination with advancements in Big Data, communications
and networked systems, offers a positive impact across a range of sectors including health …

An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things

K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …

Anomaly detection on iot network intrusion using machine learning

Z Liu, N Thapa, A Shaver, K Roy, X Yuan… - … intelligence, big data …, 2020 - ieeexplore.ieee.org
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …

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 …

[HTML][HTML] A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

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 …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …