Genet: A multimodal llm-based co-pilot for network topology and configuration
B Ifland, E Duani, R Krief, M Ohana… - arxiv preprint arxiv …, 2024 - arxiv.org
Communication network engineering in enterprise environments is traditionally a complex,
time-consuming, and error-prone manual process. Most research on network engineering …
time-consuming, and error-prone manual process. Most research on network engineering …
INCS: Intent-driven network-wide configuration synthesis based on deep reinforcement learning
Configuring modern networks is a complex task due to the intricate low-level configuration
languages and diverse routing protocols used across numerous interconnected devices …
languages and diverse routing protocols used across numerous interconnected devices …
Malicious traffic detection for cloud-edge-end networks: A deep learning approach
H Liu, F Han, Y Zhang - Computer Communications, 2024 - Elsevier
Malicious traffic has a great impact on network security. This paper studies a malicious traffic
detection method based on deep learning. Aiming at the small sample data problem of …
detection method based on deep learning. Aiming at the small sample data problem of …
MONR: Multi-Objective Optimizing Network Reconfiguration Using Deep Reinforcement Learning
Y Dai, H Zhang, J Wang, J Liao - 2024 IEEE 32nd International …, 2024 - ieeexplore.ieee.org
Modern networks require frequent configuration updates due to dynamic events, like
network expansion and evolving traffic patterns. Existing network reconfiguration tools are …
network expansion and evolving traffic patterns. Existing network reconfiguration tools are …
Key security measurement method of authentication based on mobile edge computing in urban rail transit communication network
Y Wang, Z Wang, X Liu - Computer Communications, 2024 - Elsevier
In the rail transit industry, the communication network is also widely used in various
professions. Rail transit stations have the characteristics of narrow space, high degree of …
professions. Rail transit stations have the characteristics of narrow space, high degree of …
From Agents to Robots: A Training and Evaluation Platform for Multi-robot Reinforcement Learning
Multi-robot reinforcement learning (MRRL) is a promising approach to solving cooperation
problems and has been widely adopted in many applications. In the past decades …
problems and has been widely adopted in many applications. In the past decades …
[PDF][PDF] Knowledge-driven Intent Life-cycle Management
The management of cellular networks and services has evolved due to the rapidly changing
demands and complexity of service modeling and management. This paper uses intent …
demands and complexity of service modeling and management. This paper uses intent …
Evaluation of ChatGPT's Configuration Support for Network Connectivity and Security
ChatGPT is the world most famous AI interface operates by analyzing the prompt input text
and generating coherent responses that predicts effectively your query by utilizing the …
and generating coherent responses that predicts effectively your query by utilizing the …