CNN-based automatic modulation recognition for index modulation systems

M Leblebici, A Çalhan, M Cicioğlu - Expert Systems with Applications, 2024 - Elsevier
Automatic modulation recognition (AMR) has garnered significant attention in both civilian
and military domains, with applications ranging from spectrum sensing and cognitive radio …

Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model

L Mo, X Qi, L Liu - Applied Intelligence, 2024 - Springer
Accurate grant classification of network traffic not only assists service providers in making
acceptable allocations based on actual business demands, but also ensures service quality …

Multi-Stage Network Attack Detection Algorithm Based on Gaussian Mixture Hidden Markov Model and Transfer Learning

Q Wang, W Wang, Y Wang, J Ren… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-stage network attack (MSA) is a serious threat to data security. The high-dimensionality
of the alert data along with the diverse features, leads to poor detection performance for …

An Investigation of Learning Model Technologies for Network Traffic Classification Design in Cyber Security Exercises

Y Jang, DW Kim, GY Shin, S Cho, K Kim, J Kang… - IEEE …, 2023 - ieeexplore.ieee.org
With the proliferation of network systems, the boundaries between cyber and physical
environments are blurring, leading to an increased risk of sophisticated cyber-attacks …

Machine Learning in Cybersecurity: Advanced Detection and Classification Techniques for Network Traffic Environments

SEH Hassan, N Duong-Trung - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
In the digital age, the integrity of business operations and the smoothness of their execution
heavily depend on cybersecurity and network efficiency. The need for robust solutions to …

Intelligent Interface for Secure Routing of TCP/IP Connections to the KVM Hypervisor

A Zaenchkovski, A Lazarev… - 2023 International …, 2023 - ieeexplore.ieee.org
At the moment, the development of portable devices is a priority for many global
organizations, including the industrial and socio-economic sectors. The rapid development …

[PDF][PDF] An MLOps Framework for Explainable Network Intrusion Detection with MLflow

The surge in network traffic has required advanced techniques to ensure network security.
Network Intrusion Detection Systems (NIDSs), which increasingly employ Machine Learning …