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 …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
Internet of medical things privacy and security: Challenges, solutions, and future trends from a new perspective
The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the
medical domain, allows data to be transmitted across communication networks. In particular …
medical domain, allows data to be transmitted across communication networks. In particular …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks
HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …
internet and cloud-based technologies in the industrial area. IoT technology used in the …
Internet of things (IoT) security dataset evolution: Challenges and future directions
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 …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Intrusion detection system using feature extraction with machine learning algorithms in IoT
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …
been shown in internet security, specifically focusing on protecting these vulnerable devices …
Deepfake detection using deep learning methods: A systematic and comprehensive review
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …
manifesting miraculous effectuation to revolutionize conventional means of network …
Internet of things meet internet of threats: New concern cyber security issues of critical cyber infrastructure
As a new area of technology, the Internet of Things (IoT) is a flagship and promising
paradigm for innovating society. However, IoT-based critical infrastructures are an appealing …
paradigm for innovating society. However, IoT-based critical infrastructures are an appealing …
A systematic literature review on machine and deep learning approaches for detecting attacks in RPL-based 6LoWPAN of internet of things
The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …