[HTML][HTML] The comparison of cybersecurity datasets

A Alshaibi, M Al-Ani, A Al-Azzawi, A Konev… - Data, 2022 - mdpi.com
Almost all industrial internet of things (IIoT) attacks happen at the data transmission layer
according to a majority of the sources. In IIoT, different machine learning (ML) and deep …

[HTML][HTML] 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 …

Machine learning-based intrusion detection approaches for secured internet of things

TM Ghazal, MK Hasan, SNHS Abdullah… - The effect of information …, 2023 - Springer
Nowadays, protecting communication and information for Internet of Things (IOT) has
emerged as a critical challenge. Existing systems use firewalls to ensure that they are safe …

[HTML][HTML] 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 …

A review of intrusion detection system in IoT with machine learning approach: current and future research

EP Nugroho, T Djatna, IS Sitanggang… - … on science in …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) devices with their network services are often vulnerable to attacks
because they are not designed for security. Especially with the rapid technological advances …

A review on IoT intrusion detection systems using supervised machine learning: Techniques, datasets, and algorithms

AR Abdulla, NGM Jameel - UHD Journal of Science and …, 2023 - journals.uhd.edu.iq
Physical objects that may communicate with one another are referred to “things” throughout
the Internet of Things (IoT) concept. It introduces a variety of services and activities that are …

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] Hybrid intelligent intrusion detection system for internet of things

S Jain, PM Pawar, R Muthalagu - Telematics and Informatics Reports, 2022 - Elsevier
Abstract The Internet of Things (IoT) has become one of the dynamic and fascinating fields of
research with new technology emerging. This can be explained by the ever-rising …

Attack detection in IoT using machine learning

M Anwer, SM Khan, MU Farooq - Engineering, Technology & Applied …, 2021 - etasr.com
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …

[HTML][HTML] A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems

H Meziane, N Ouerdi - Scientific Reports, 2023 - nature.com
Security is an important field in the Internet of Things (IoT) systems. The IoT and security are
topical domains. Because it was obtained 35,077 document results from the Scopus …