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 …

[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review

SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

The role of machine learning in network anomaly detection for cybersecurity

A Yaseen - Sage Science Review of Applied Machine …, 2023 - journals.sagescience.org
This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …

Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0

N Peppes, E Daskalakis, T Alexakis, E Adamopoulou… - Sensors, 2021 - mdpi.com
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge
Information and Communication Technologies in existing operations. Various cyber threats …

Artificial intelligence assisted IoT data intrusion detection

KA Shukla, S Ahamad, GN Rao… - … on Computing and …, 2021 - ieeexplore.ieee.org
It has become increasingly important since the introduction of Internet of Things (IoT)
technology to ensure the security of IoT networks. Network anomalies and threats can be …

Refined LSTM based intrusion detection for denial-of-service attack in Internet of Things

KO Adefemi Alimi, K Ouahada… - Journal of sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a promising technology that allows numerous devices to be
connected for ease of communication. The heterogeneity and ubiquity of the various …

Fog computing-based intrusion detection architecture to protect iot networks

Y Labiod, A Amara Korba, N Ghoualmi - Wireless Personal …, 2022 - Springer
With the deployment of billions of Internet of Things (IoT) devices, more and more cyber
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …

A comprehensive survey for IoT security datasets taxonomy, classification and machine learning mechanisms

C Alex, G Creado, W Almobaideen, OA Alghanam… - Computers & …, 2023 - Elsevier
This survey paper compares existing IoT related datasets found in the literature with three
main objectives. The first one is to highlight the characteristics of these datasets such as the …

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 …