A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future

M Jafari, A Kavousi-Fard, T Chen, M Karimi - IEEE Access, 2023 - ieeexplore.ieee.org
With recent advances in information and communication technology (ICT), the bleeding
edge concept of digital twin (DT) has enticed the attention of many researchers to …

Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

[HTML][HTML] Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

U Inayat, MF Zia, S Mahmood, HM Khalid… - Electronics, 2022 - mdpi.com
Internet of Things (IoT) is a develo** technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …

A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges

A Thakkar, R Lohiya - Archives of Computational Methods in Engineering, 2021 - Springer
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

Deep learning and big data technologies for IoT security

MA Amanullah, RAA Habeeb, FH Nasaruddin… - Computer …, 2020 - Elsevier
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …

Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEe Access, 2022 - ieeexplore.ieee.org
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

Practical autoencoder based anomaly detection by using vector reconstruction error

H Torabi, SL Mirtaheri, S Greco - Cybersecurity, 2023 - Springer
Nowadays, cloud computing provides easy access to a set of variable and configurable
computing resources based on user demand through the network. Cloud computing …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …