A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks

B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach

B Sharma, L Sharma, C Lal, S Roy - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …

Deep learning-based intrusion detection for IoT networks

M Ge, X Fu, N Syed, Z Baig, G Teo… - 2019 IEEE 24th …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) has an immense potential for a plethora of applications ranging from
healthcare automation to defence networks and the power grid. The security of an IoT …

An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks

Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …

Deep learning approach for intrusion detection system (ids) in the internet of things (iot) network using gated recurrent neural networks (gru)

MK Putchala - 2017 - rave.ohiolink.edu
Abstract The Internet of Things (IoT) is a complex paradigm where billions of devices are
connected to a network. These connected devices form an intelligent system of systems that …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

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 …