A survey on learning-based intrusion detection systems for IoT networks

S Abdelhamid, M Aref, I Hegazy… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) networks have developed tremendously over the past years. The
main concept behind this technology is to facilitate information exchange between devices …

A comparative analysis of machine learning algorithms for intrusion detection in edge-enabled IoT networks

P Mahadevappa, SM Muzammal… - arXiv preprint arXiv …, 2021 - arxiv.org
A significant increase in the number of interconnected devices and data communication
through wireless networks has given rise to various threats, risks and security concerns …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

Detection of cyber attacks in IoT using tree-based ensemble and feedforward neural network

M Shorfuzzaman - … on Systems, Man, and Cybernetics (SMC), 2020 - ieeexplore.ieee.org
Detection of cyber attacks in the Internet of Things (IoT) networks has lately been a growing
concern. Due to the extensive use of IoT infrastructures in numerous domains, these …

Deep Learning Approach for Intrusion Detection and Mitigation in IoT Environment: A Comprehensive Study

R Arthi, S Krishnaveni - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has gained importance over the last decade due to the
exponential growth in digital communication systems and networks. The future society relies …

Intrusion detection in IoT networks using deep learning algorithm

B Susilo, RF Sari - Information, 2020 - mdpi.com
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …

A Review on Intrusion Detection Systems and Cyber Threat Intelligence for Secure IoT-Enabled Networks: Challenges and Directions

P Kumar, GP Gupta, R Tripathi - … Data Analytics in Fog-Enabled IoT …, 2023 - taylorfrancis.com
The Internet of Things (IoT) refers to the convergence of smart objects with the Internet to
make our surroundings smarter, autonomous, and efficient for human life. Despite the …

[PDF][PDF] Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions

T Vaiyapuri, Z Sbai, H Alaskar… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative
technology with a potential to digitize and interconnect many industries for huge business …

Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …