Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities

H Zhou, C Hu, Y Yuan, Y Cui, Y **… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

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

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P **ong… - 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 …

CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment

ECP Neto, S Dadkhah, R Ferreira, A Zohourian, R Lu… - Sensors, 2023 - mdpi.com
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new
capabilities to different industries. The number of IoT solutions in areas such as …

[HTML][HTML] DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system

V Hnamte, J Hussain - Telematics and Informatics Reports, 2023 - Elsevier
In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …

[HTML][HTML] Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (AI)-enabled malware and intrusion detection

M Schmitt - Journal of Industrial Information Integration, 2023 - Elsevier
The last decades have been characterized by unprecedented technological advances,
many of them powered by modern technologies such as Artificial Intelligence (AI) and …

AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and cyber …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities

R Tallat, A Hawbani, X Wang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …

FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

O Friha, MA Ferrag, L Shu, L Maglaras… - Journal of Parallel and …, 2022 - Elsevier
In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …

An improved anomaly detection model for IoT security using decision tree and gradient boosting

M Douiba, S Benkirane, A Guezzaz… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) represents a massive deployment of connected, intelligent
devices that communicate directly in private, public, and professional environments without …