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Found 10 papers, 0 papers with code
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.
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.
An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems
Numerical results demonstrate that comparing to existing approaches, our proposed unsupervised learning-based approach achieves a higher data rate, especially when the molecular absorption coefficient within the spectrum of interest varies in a highly non-linear manner.
Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications
In this paper, we propose a deep reinforcement learning (DRL) approach for solving the optimisation problem of the network's sum-rate in device-to-device (D2D) communications supported by an intelligent reflecting surface (IRS).
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
We formulate a Markov decision process and propose two deep reinforcement learning algorithms to solve the optimization problem of maximizing the total network sum-rate.
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
data, users' heterogeneity), we first propose an efficient FL algorithm based on Federated Averaging (called FedFog) to perform the local aggregation of gradient parameters at fog servers and global training update at the cloud.
3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication.
Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning
In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's reflection for enhancing the network's performance.
Physical Layer Security: Detection of Active Eavesdropping Attacks by Support Vector Machines
This paper presents a framework for converting wireless signals into structured datasets, which can be fed into machine learning algorithms for the detection of active eavesdropping attacks at the physical layer.
Particle Swarm Optimization for Weighted Sum Rate Maximization in MIMO Broadcast Channels
In order to maximize the weighted sum-rate (WSR) of the system subject to the transmitted power constraint, the design problem is to find the pre-coding matrices at BTS and the decoding matrices at MSs.
