Efficient anomaly detection for smart hospital IoT systems
AM Said, A Yahyaoui, T Abdellatif - Sensors, 2021 - mdpi.com
In critical Internet of Things (IoT) application domains, such as the Defense Industry and
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
Effective anomaly detection using deep learning in IoT systems
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …
concerning IoT devices, which are quickly spreading throughout various situations of …
An anomaly-based intrusion detection system for internet of medical things networks
Over the past few years, the healthcare sector is being transformed due to the rise of the
Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) …
Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) …
Machine learning approaches for anomaly detection in IoT: an overview and future research directions
N Alghanmi, R Alotaibi, SM Buhari - Wireless Personal Communications, 2022 - Springer
The internet of things (IoT) is the networking of interrelated devices and sensors connected
through the internet to transfer and share data. The data gathered from these devices may …
through the internet to transfer and share data. The data gathered from these devices may …
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 …
LSTM-Markov based efficient anomaly detection algorithm for IoT environment
V Shanmuganathan, A Suresh - Applied Soft Computing, 2023 - Elsevier
The seamless integration of wireless and IoT device in normal day to day life and for smart
homes has enabled more security and privacy needs. The attack or unauthorized access to …
homes has enabled more security and privacy needs. The attack or unauthorized access to …
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 …
HADS: Hybrid anomaly detection system for IoT environments
IoT (Internet of Things) devices are rapidly becoming popular in residential environments,
but security is still a big concern in this ecosystem. The fast growth of IoT devices in homes …
but security is still a big concern in this ecosystem. The fast growth of IoT devices in homes …
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 …
physical objects. The objects range from wireless sensors to robots and include surveillance …
A framework for anomaly detection and classification in Multiple IoT scenarios
The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …
recent years, this activity has been also extended to social networking and social …