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Found 8 papers, 0 papers with code
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
These findings provide insights for efficient vehicular communication and underscore the potential of virtual twins in enhancing vehicular networks in crowded areas while emphasizing the importance of considering real-world factors when making deployment decisions.
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex.
A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks
Addressing this gap, our study introduces a novel approach for Black Hole detection in backbone networks using specialized Yet Another Next Generation (YANG) data models with Black Hole-sensitive Metric Matrix (BHMM) analysis.
AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities
This is caused by the lack of right-time data capturing in traditional approaches, resulting in inaccurate modelling and high resource and energy consumption challenges.
Digital Twin-Native AI-Driven Service Architecture for Industrial Networks
Within the proposed DT-native architecture, we implement a TCP-based data flow pipeline and a Reinforcement Learning (RL)-based learner model.
Digital Twin-Enabled Intelligent DDoS Detection Mechanism for Autonomous Core Networks
Our contributions are three-fold: we first design a DDoS detection architecture based on the digital twin for ISP core networks.
Network-Aware AutoML Framework for Software-Defined Sensor Networks
As the current detection solutions of distributed denial of service attacks (DDoS) need additional infrastructures to handle high aggregate data rates, they are not suitable for sensor networks or the Internet of Things.
TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports
We show that under simultaneous internal and external attacks on the system, our solution successfully detects internal and external attacks.
