Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions

A Gaddam, T Wilkin, M Angelova, J Gaddam - Electronics, 2020 - mdpi.com
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 …

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 …

A survey of outlier detection techniques in IoT: Review and classification

MA Samara, I Bennis, A Abouaissa… - Journal of Sensor and …, 2022 - mdpi.com
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 …

[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 …

[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 …

Noise removal in the presence of significant anomalies for industrial IoT sensor data in manufacturing

Y Liu, T Dillon, W Yu, W Rahayu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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 …

Outlier detection approaches based on machine learning in the internet-of-things

J Jiang, G Han, L Shu, M Guizani - IEEE Wireless …, 2020 - ieeexplore.ieee.org
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 …

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 …

A framework for anomaly detection and classification in Multiple IoT scenarios

F Cauteruccio, L Cinelli, E Corradini… - Future Generation …, 2021 - Elsevier
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 …

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 …