[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 …
smart devices. While these innovations offer unprecedented opportunities, they also …
Revolutionizing cyber threat detection with large language models: A privacy-preserving bert-based lightweight model for iot/iiot devices
The field of Natural Language Processing (NLP) is currently undergoing a revolutionary
transformation driven by the power of pre-trained Large Language Models (LLMs) based on …
transformation driven by the power of pre-trained Large Language Models (LLMs) based on …
DL-SkLSTM approach for cyber security threats detection in 5G enabled IIoT
A Rajak, R Tripathi - International Journal of Information Technology, 2024 - Springer
The advancement of 5G technology has enabled the IIoT (Industrial Internet of Things) to
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …
Model-agnostic generation-enhanced technology for few-shot intrusion detection
Malicious traffic on the Internet has become an increasingly serious problem, and several
artificial intelligence (AI)-based malicious traffic detection methods have been proposed …
artificial intelligence (AI)-based malicious traffic detection methods have been proposed …
Malicious Traffic Classification via Edge Intelligence in IIoT
M Wang, B Zhang, X Zang, K Wang, X Ma - Mathematics, 2023 - mdpi.com
The proliferation of smart devices in the 5G era of industrial IoT (IIoT) produces significant
traffic data, some of which is encrypted malicious traffic, creating a significant problem for …
traffic data, some of which is encrypted malicious traffic, creating a significant problem for …
[HTML][HTML] Optimizing Cyber Threat Detection in IoT: A Study of Artificial Bee Colony (ABC)-Based Hyperparameter Tuning for Machine Learning
In the rapidly evolving landscape of the Internet of Things (IoT), cybersecurity remains a
critical challenge due to the diverse and complex nature of network traffic and the increasing …
critical challenge due to the diverse and complex nature of network traffic and the increasing …
SmartSentry: Cyber Threat Intelligence in Industrial IoT
While the Internet of Things (IoT) paradigm has transformed connectivity, it has also brought
with it previously unheard-of security risks. The categorization of IoT attacks using several …
with it previously unheard-of security risks. The categorization of IoT attacks using several …
Applying Hoeffding Tree Algorithms for Effective Stream Learning in IoT DDoS Detection
JGA de Araújo Josephik, Y Siqueira… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
The constant evolution of botnets to cause DDoS and the non-existence of storage devices
in IoT environments with high capacity to save the packets traveling on the network claim an …
in IoT environments with high capacity to save the packets traveling on the network claim an …
A Novel Hybrid Model Detection of Security Vulnerabilities in Industrial Control Systems and IoT Using GCN+ LSTM
In this study, we address critical security vulnerabilities in Industrial Control Systems (ICS)
and the Internet of Things (IoT) by focusing on enhancing collaboration and communication …
and the Internet of Things (IoT) by focusing on enhancing collaboration and communication …
A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
DA Worae, A Sheikh, S Mastorakis - arXiv preprint arXiv:2412.19830, 2024 - arxiv.org
The rapid expansion of Internet of Things (IoT) ecosystems has introduced growing
complexities in device management and network security. To address these challenges, we …
complexities in device management and network security. To address these challenges, we …