Adriot: An edge-assisted anomaly detection framework against iot-based network attacks
Internet of Things (IoT) has entered a stage of rapid development and increasing
deployment. Meanwhile, these low-power devices typically cannot support complex security …
deployment. Meanwhile, these low-power devices typically cannot support complex security …
[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
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 …
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends
SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
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 …
new security risks to critical industrial control systems from unsecured devices and …
{HorusEye}: A Realtime {IoT} Malicious Traffic Detection Framework using Programmable Switches
The ever-growing volume of IoT traffic brings challenges to IoT anomaly detection systems.
Existing anomaly detection systems perform all traffic detection on the control plane, which …
Existing anomaly detection systems perform all traffic detection on the control plane, which …
Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …
information technology, while the exponentially increasing number of tiny, connected …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
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 …
collection, storage, processing, and communication. The adoption of the IoT has brought …
Deep learning-enabled anomaly detection for IoT systems
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 …
industries and government services. Unfortunately, IoT devices and networks are known to …
Towards deep-learning-driven intrusion detection for the internet of things
G Thamilarasu, S Chawla - Sensors, 2019 - mdpi.com
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …
applications, and communication networks are becoming increasingly connected and …
[PDF][PDF] Anomaly Detection for Internet of Things Cyberattacks.
M Alanazi, A Aljuhani - Computers, Materials & Continua, 2022 - researchgate.net
The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of
improving quality of service and facilitating human lives. The IoT revolution has redefined …
improving quality of service and facilitating human lives. The IoT revolution has redefined …