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 …
[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 …
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 …
Federated-learning-based anomaly detection for IoT security attacks
V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
[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 …
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 …
[HTML][HTML] Federated IoT attack detection using decentralized edge data
Abstract Internet of Things (IoT) devices are mass-produced and designed for different
applications, ranging from monitoring of the environment to on-demand electrical switches …
applications, ranging from monitoring of the environment to on-demand electrical switches …
Classifying security attacks in IoT networks using supervised learning
C Ioannou, V Vassiliou - 2019 15th International conference on …, 2019 - ieeexplore.ieee.org
Machine learning models have long be proposed to detect the presence of unauthorized
activity within computer networks. They are used as anomaly detection techniques to detect …
activity within computer networks. They are used as anomaly detection techniques to detect …
Anomaly detection/prediction for the internet of things: State of the art and the future
XX Lin, P Lin, EH Yeh - IEEE Network, 2020 - ieeexplore.ieee.org
Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
Anomaly detection on iot network intrusion using machine learning
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 …
information technology community faces. With large scales of IoT devices being developed …