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 …

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 …

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 …

A feature similarity machine learning model for ddos attack detection in modern network environments for industry 4.0

S Sambangi, L Gondi, S Aljawarneh - Computers and Electrical …, 2022 - Elsevier
Recent advancements in artificial intelligence and machine learning technologies have laid
the flagstone for the fourth industrial revolution, Industry 4.0. The industry 4.0 is at a very …

RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu

R Verma, S Chandra - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The impetuous expansion of the Internet of Things (IoT) network has resulted in a noticeable
increase in the production of sensitive user data. With this, to meet the demand for real-time …

Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework

J Nayak, B Naik, PB Dash, S Vimal, S Kadry - … Computing: Informatics and …, 2022 - Elsevier
The successful applications and diversified popularity of the Internet of Things (IoT) present
various advantages and opportunities in broad characteristics of our lives. However …

Feature-selection and mutual-clustering approaches to improve DoS detection and maintain WSNs' lifetime

R Ahmad, R Wazirali, Q Bsoul, T Abu-Ain, W Abu-Ain - Sensors, 2021 - mdpi.com
Wireless Sensor Networks (WSNs) continue to face two major challenges: energy and
security. As a consequence, one of the WSN-related security tasks is to protect them from …

[PDF][PDF] Machine Learning Approaches to Detect DoS and Their Effect on WSNs Lifetime.

R Wazirali, R Ahmad - Computers, Materials & Continua, 2022 - academia.edu
Energy and security remain the main two challenges in Wireless Sensor Networks (WSNs).
Therefore, protecting these WSN networks from Denial of Service (DoS) and Distributed DoS …

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

M Sathya, M Jeyaselvi, L Krishnasamy… - Wireless …, 2021 - Wiley Online Library
The Internet of Things (IoT) is enhancing our lives in a variety of structures, which consists of
smarter cities, agribusiness, and e‐healthcare, among others. Even though the Internet of …

An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things

K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …