A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism
S Cai, H Xu, M Liu, Z Chen, G Zhang - Computers & Security, 2024 - Elsevier
The increasingly frequent network intrusions have brought serious impacts to the production
and life, thus malicious network traffic detection has received more and more attention in …
and life, thus malicious network traffic detection has received more and more attention in …
Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things
D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …
of collecting data and communicating wirelessly, are poised to revolutionize numerous …
[HTML][HTML] Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework
The 5 G networks are effectively deployed worldwide, and academia and industries have
begun looking at 6 G network communication technology for consumer electronics …
begun looking at 6 G network communication technology for consumer electronics …
[HTML][HTML] Mitigating Adversarial Attacks against IoT Profiling
Internet of Things (IoT) applications have been helping society in several ways. However,
challenges still must be faced to enable efficient and secure IoT operations. In this context …
challenges still must be faced to enable efficient and secure IoT operations. In this context …
Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory
Internet of Things (IoT) applications and resources are highly vulnerable to flood attacks,
including Distributed Denial of Service (DDoS) attacks. These attacks overwhelm the …
including Distributed Denial of Service (DDoS) attacks. These attacks overwhelm the …
[PDF][PDF] Dependable Cyber-Physical Systems: concepts, challenges, and case studies
As the integration of cyber and physical components becomes increasingly prevalent in
modern systems, ensuring the dependability of Cyber-Physical Systems (CPS) has emerged …
modern systems, ensuring the dependability of Cyber-Physical Systems (CPS) has emerged …
Node Compromising Detection to Mitigate Poisoning Attacks in IoT Networks
FK Vuseghesa, ML Messai… - … and Mobile Computing …, 2024 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) networks as a source of large amount of data
has paved the way for the adoption of machine learning models. Divers datasets, used in the …
has paved the way for the adoption of machine learning models. Divers datasets, used in the …
Privacy-Preserving Detection of DDoS Attacks in IoT Using Federated Learning Techniques
K Bhatia, S Bhattacharya… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Internet of Things devices are widely employed in various industries, cities, and institutions
as with low-cost investment various benefits can be obtained. The computing power …
as with low-cost investment various benefits can be obtained. The computing power …
A Robust Data-Driven Framework for Artificial Intelligent Systems
QH Nguyen - 2024 - search.proquest.com
Artificial Intelligence (AI) systems have demonstrated remarkable performance across
various domains. However, their robustness remains a critical concern, particularly in terms …
various domains. However, their robustness remains a critical concern, particularly in terms …
Hybrid Deep Learning framework-based intrusion detection system for the Internet of Things
AR Nair - … International Conference on Intelligent Systems for …, 2024 - ieeexplore.ieee.org
The recent surge in Internet of Things (IoT) devices has brought about unique security
challenges. These devices have limited resources and are vulnerable to attacks. As Internet …
challenges. These devices have limited resources and are vulnerable to attacks. As Internet …