[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 …

[HTML][HTML] Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …

[HTML][HTML] A review of machine learning and deep learning techniques for anomaly detection in IoT data

R Al-Amri, RK Murugesan, M Man, AF Abdulateef… - Applied Sciences, 2021 - mdpi.com
Anomaly detection has gained considerable attention in the past couple of years. Emerging
technologies, such as the Internet of Things (IoT), are known to be among the most critical …

Effective attack detection in internet of medical things smart environment using a deep belief neural network

S Manimurugan, S Al-Mutairi, MM Aborokbah… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has lately developed into an innovation for develo** smart
environments. Security and privacy are viewed as main problems in any technology's …

Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

M Nuaimi, LC Fourati, BB Hamed - Journal of Network and Computer …, 2023 - Elsevier
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …

A systematic literature review of IoT time series anomaly detection solutions

A Sgueglia, A Di Sorbo, CA Visaggio… - Future Generation …, 2022 - Elsevier
The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …

A review of time-series anomaly detection techniques: A step to future perspectives

K Shaukat, TM Alam, S Luo, S Shabbir… - Advances in information …, 2021 - Springer
Anomaly detection is a significant problem that has been studied in a broader spectrum of
research areas due to its diverse applications in different domains. Despite the usage of …

An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality

Y Liu, W Yu, W Rahayu, T Dillon - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …

A survey on trend and classification of internet of things reviews

AHM Aman, E Yadegaridehkordi, ZS Attarbashi… - Ieee …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is sha** the current and next generation of the Internet. The
vision of IoT is to embed communication capabilities with a highly distributed, ubiquitous and …

[HTML][HTML] Anomaly detection based on artificial intelligence of things: A systematic literature map**

S Trilles, SS Hammad, D Iskandaryan - Internet of Things, 2024 - Elsevier
Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …