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 …

IoT security challenges: cloud and blockchain, postquantum cryptography, and evolutionary techniques

S Balogh, O Gallo, R Ploszek, P Špaček, P Zajac - Electronics, 2021 - mdpi.com
Internet of Things connects the physical and cybernetic world. As such, security issues of IoT
devices are especially damaging and need to be addressed. In this treatise, we overview …

CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks

BA Alabsi, M Anbar, SDA Rihan - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …

Federated deep learning for anomaly detection in the internet of things

X Wang, Y Wang, Z Javaheri, L Almutairi… - Computers and …, 2023 - Elsevier
Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …

Blockchain technology and artificial intelligence based decentralized access control model to enable secure interoperability for healthcare

SK Rana, SK Rana, K Nisar, AA Ag Ibrahim, AK Rana… - Sustainability, 2022 - mdpi.com
Healthcare, one of the most important industries, is data-oriented, but most of the research in
this industry focuses on incorporating the internet of things (IoT) or connecting medical …

A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks

MM Inuwa, R Das - Internet of Things, 2024 - Elsevier
This study explores the growing challenges of cybersecurity in the context of rapidly adopted
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …

Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models

SDA Rihan, M Anbar, BA Alabsi - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …

[PDF][PDF] Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset

J Jose, DV Jose - International Journal of Electrical and Computer …, 2023 - academia.edu
Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …

Combining unsupervised approaches for near real-time network traffic anomaly detection

F Carrera, V Dentamaro, S Galantucci, A Iannacone… - Applied Sciences, 2022 - mdpi.com
The 0-day attack is a cyber-attack based on vulnerabilities that have not yet been published.
The detection of anomalous traffic generated by such attacks is vital, as it can represent a …

Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

Y Ali, HU Khan, M Khalid - Journal of Big Data, 2023 - Springer
Abstract Internet of Things (IoT) driven systems have been sharply growing in the recent
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …