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Found 4 papers, 0 papers with code
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
The evolution of wireless communication systems will be fundamentally impacted by an open radio access network (O-RAN), a new concept defining an intelligent architecture with enhanced flexibility, openness, and the ability to slice services more efficiently.
Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN
This paper introduces an innovative approach to the resource allocation problem, aiming to coordinate multiple independent x-applications (xAPPs) for network slicing and resource allocation in the Open Radio Access Network (O-RAN).
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data through deep generative modeling.
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic
In this paper, we introduce a novel end-to-end traffic classification method to distinguish between traffic classes including VPN traffic in three layers of the Open Systems Interconnection (OSI) model.
