Overview of evolutionary algorithms and neural networks for modern mobile communication

L Kouhalvandi, I Shayea, S Ozoguz… - Transactions on …, 2022 - Wiley Online Library
The sixth generation (6G) of mobile networks must support the huge growth of mobile
connections and provides various intelligent services in future mobile networks. For that …

Data-driven estimation of throughput performance in sliced radio access networks via supervised learning

C Gijón, M Toril, S Luna-Ramírez - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In 5G systems, Network Slicing (NS) feature allows to deploy several logical networks
customized for specific verticals over a common physical infrastructure. To make the most of …

A VPN-encrypted traffic identification method based on ensemble learning

J Cao, XL Yuan, Y Cui, JC Fan, CL Chen - Applied Sciences, 2022 - mdpi.com
One of the foundational and key means of optimizing network service in the field of network
security is traffic identification. Various data transmission encryption technologies have been …

SLA-Driven Traffic Steering in B5G Systems with Network Slicing

C Gijon, T Mahmoodi, M Toril… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In 5G and beyond wireless systems, Network Slicing (NS) feature will enable the
coexistence of extremely different services by splitting the physical infrastructure into several …

Gene fingerprinting: Cracking encrypted tunnel with zero-shot learning

D Li, C Gu, Y Zhu - IEICE TRANSACTIONS on Information and …, 2022 - search.ieice.org
Website Fingerprinting (WF) enables a passive attacker to identify which website a user is
visiting over an encrypted tunnel. Current WF attacks have two strong assumptions:(i) …

[PDF][PDF] Advancements in enhancing cyber-physical system security: Practical deep learning solutions for network traffic classification and integration with security …

S Gaba, I Budhiraja, V Kumar… - Mathematical Biosciences …, 2024 - aimspress.com
Traditional network analysis frequently relied on manual examination or predefined patterns
for the detection of system intrusions. As soon as there was increase in the evolution of the …

Low Loss Multi-Channel Communication Combiner for Cellular Applications

E Rosenberg, Y Koral, A Mekeyess, M Mizrachi… - IEEE …, 2023 - ieeexplore.ieee.org
The increasing demand for cellular communication channels calls for multichannel
solutions. Using one antenna for each channel results in a high density of antennas at the …

Data-driven construction of user utility functions from radio connection traces in LTE

AJ Garcia, C Gijon, M Toril, S Luna-Ramirez - Electronics, 2021 - mdpi.com
In recent years, the number of services in mobile networks has increased exponentially. This
increase has forced operators to change their network management processes to ensure an …

Unsupervised Network Traffic Classification Based on Multi-Source Synergistic Distribution Alignment

B Gao, Y Yang, Z Gao, P Yu, R Lyu… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Network traffic classification is a key technology in network communication management,
which is of great significance for building intelligent communication and so on. Due to the …

Optimización de la calidad de experiencia en redes celulares mediante el ajuste del traspaso entre celdas

ML Marí-Altozano - 2021 - riuma.uma.es
En los últimos años, la gestión de las redes móviles se ha convertido en una tarea muy
compleja por, entre otras razones, la diversidad de los servicios en movilidad. Para afrontar …