Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions
The Internet of Things (IoT) has gained significant recognition to become a novel sensing
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …
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 …
A survey of outlier detection techniques in IoT: Review and classification
The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …
various applications. From small home networks to large-scale networks, the aim is the …
[HTML][HTML] Outlier detection strategies for WSNs: A survey
B Chander, G Kumaravelan - Journal of King Saud University-Computer …, 2022 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
[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 …
Noise removal in the presence of significant anomalies for industrial IoT sensor data in manufacturing
The emergence of the Industrial Internet of Things (IIoT) to enhance manufacturing and
industrial processes allows data analysts to address significant problems such as predictive …
industrial processes allows data analysts to address significant problems such as predictive …
Outlier detection approaches based on machine learning in the internet-of-things
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in
numerous fields, including fraud monitoring, intrusion detection, secure localization, trust …
numerous fields, including fraud monitoring, intrusion detection, secure localization, trust …
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 …
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 …
Outlier detection techniques for wireless sensor networks: A survey
Y Zhang, N Meratnia, P Havinga - … communications surveys & …, 2010 - ieeexplore.ieee.org
In the field of wireless sensor networks, those measurements that significantly deviate from
the normal pattern of sensed data are considered as outliers. The potential sources of …
the normal pattern of sensed data are considered as outliers. The potential sources of …