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 …
[HTML][HTML] IoT anomaly detection methods and applications: A survey
A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …
expanding field. This growth necessitates an examination of application trends and current …
Anomaly detection, analysis and prediction techniques in iot environment: A systematic literature review
M Fahim, A Sillitti - IEEE Access, 2019 - ieeexplore.ieee.org
Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …
past few years due to the advancement of sensor monitoring technologies, low-cost …
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment
The Internet of Things (IoT) is a system that connects physical computing devices, sensors,
software, and other technologies. Data can be collected, transferred, and exchanged with …
software, and other technologies. Data can be collected, transferred, and exchanged with …
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 …
[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 …
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 …
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 …
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 …
Anomaly detection for iot systems using active learning
M Zakariah, AS Almazyad - Applied Sciences, 2023 - mdpi.com
The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …
identification of anomalies in IoT systems crucial for ensuring their security and reliability …