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 …

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 …

A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks

M Jeyaselvi, RK Dhanaraj, M Sathya, FH Memon… - Cluster …, 2023 - Springer
Abstract The Internet of Things (IoT) is a modern age technology, designed with the vision to
connect and also interconnect all the objects everywhere. Technological progressions …

A Host‐Based Anomaly Detection Framework Using XGBoost and LSTM for IoT Devices

X Wang, X Lu - Wireless Communications and Mobile …, 2020 - Wiley Online Library
The Internet of Things (IoT) is rapidly spreading in various application scenarios through its
salient features in ubiquitous device connections, ranging from agriculture and industry to …

A survey on recent approaches in intrusion detection system in IoTs

A Tabassum, A Erbad, M Guizani - 2019 15th International …, 2019 - ieeexplore.ieee.org
Internet of Things (IoTs) are Internet-connected devices that integrate physical objects and
internet in diverse areas of life like industries, home automation, hospitals and environment …

Anomaly detection model based on gradient boosting and decision tree for IoT environments security

M Douiba, S Benkirane, A Guezzaz… - Journal of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) refers to the widespread use of distributed intelligent objects
equipped with various components such as captors, activators, and processors that interact …

A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks

P Kumar, GP Gupta, R Tripathi - Journal of ambient intelligence and …, 2021 - Springer
With the development of internet of things (IoT), capabilities of computing, networking
infrastructure, storage of data and management have come very close to the edge of …

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 …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …