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 …

[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 …

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 …

Internet of things cyber attacks detection using machine learning

J Alsamiri, K Alsubhi - International Journal of Advanced …, 2019 - search.proquest.com
Abstract The Internet of Things (IoT) combines hundreds of millions of devices which are
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …

Internet of Things: A survey on machine learning-based intrusion detection approaches

KAP Da Costa, JP Papa, CO Lisboa, R Munoz… - Computer Networks, 2019 - Elsevier
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P Xiong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

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 …

Unsupervised ensemble based deep learning approach for attack detection in IoT network

M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …