Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

U Inayat, MF Zia, S Mahmood, HM Khalid… - Electronics, 2022 - mdpi.com
Internet of Things (IoT) is a develo** technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …

Challenges in predictive maintenance–A review

P Nunes, J Santos, E Rocha - CIRP Journal of Manufacturing Science and …, 2023 - Elsevier
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices

M Eskandari, ZH Janjua, M Vecchio… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

Anomalous sound event detection: A survey of machine learning based methods and applications

Z Mnasri, S Rovetta, F Masulli - Multimedia Tools and Applications, 2022 - Springer
With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …

AI on the edge: a comprehensive review

W Su, L Li, F Liu, M He, X Liang - Artificial Intelligence Review, 2022 - Springer
With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …

Possible applications of edge computing in the manufacturing industry—systematic literature review

K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …

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 …

Recent trends in AI-based intelligent sensing

A Sharma, V Sharma, M Jaiswal, HC Wang… - Electronics, 2022 - mdpi.com
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …

An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset

MD Dangut, Z Skaf, IK Jennions - ISA transactions, 2021 - Elsevier
Predictive maintenance is increasingly advancing into the aerospace industry, and it comes
with diverse prognostic health management solutions. This type of maintenance can unlock …