[HTML][HTML] Investigating routing in the vanet network: Review and classification of approaches

AK Sangaiah, A Javadpour, CC Hsu, A Haldorai… - Algorithms, 2023 - mdpi.com
Vehicular Ad Hoc Network (VANETs) need methods to control traffic caused by a high
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …

[HTML][HTML] Machine Learning in Information and Communications Technology: A Survey

E Dritsas, M Trigka - Information, 2024 - mdpi.com
The rapid growth of data and the increasing complexity of modern networks have driven the
demand for intelligent solutions in the information and communications technology (ICT) …

Service-aware real-time slicing for virtualized beyond 5G networks

T Tsourdinis, I Chatzistefanidis, N Makris, T Korakis… - Computer Networks, 2024 - Elsevier
Edge Intelligence is expected to play a vital role in the evolution of 5G networks,
empowering them with the capability to make real-time decisions regarding various …

Reliable feature selection for adversarially robust cyber-attack detection

J Vitorino, M Silva, E Maia, I Praça - Annals of Telecommunications, 2024 - Springer
The growing cybersecurity threats make it essential to use high-quality data to train machine
learning (ML) models for network traffic analysis, without noisy or missing data. By selecting …

A novel graph convolutional networks model for an intelligent network traffic analysis and classification

O Olabanjo, A Wusu, E Aigbokhan, O Olabanjo… - International Journal of …, 2024 - Springer
Network security in the midst of evolving and complex cyber-attacks is a growing concern.
As the complexity of network architectures grows, so does the need for advanced methods in …

[HTML][HTML] Enhancing 5G network slicing for IoT traffic with a novel clustering framework

Z Min, S Gokhale, S Shekhar, C Mahmoudi… - Pervasive and Mobile …, 2024 - Elsevier
The current extensive deployment of IoT devices, crucial for enhancing smart computing
applications in diverse domains, necessitates the utilization of essential 5G features, notably …

[HTML][HTML] A clustering-based approach for classifying data streams using graph matching

Y Du, M He, X Wang - Journal of Big Data, 2025 - journalofbigdata.springeropen.com
In response to challenges such as data encryption, uneven distribution, and user privacy
concerns in network traffic classification, this paper presents a clustering-based approach. In …

SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning

CY Liu, X Chen, Z Li, R Proietti… - Journal of Optical …, 2022 - opg.optica.org
This paper presents a cognitive flexible-bandwidth optical interconnect architecture for
datacom networks. The proposed architecture leverages silicon photonic reconfigurable all …

A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications

Z Min, S Gokhale, S Shekhar… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Existing massive deployments of IoT devices in support of smart computing applications
across a range of domains must leverage critical features of 5G, such as network slicing, to …

A Strategy to Develop and Translate Custom 5G Network Slice Templates Using Machine Learning Techniques

HO Otieno, J Mwangama, B Malila - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
5G networks will support customization through network slicing technology. The design and
planning of network slices to meet disparate demands from divergent use cases is …