Search Results for author: Trung Q. Duong

Found 10 papers, 0 papers with code

TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports

no code implementations19 Oct 2023 Yagmur Yigit, Omer Kemal Kinaci, Trung Q. Duong, Berk Canberk

We show that under simultaneous internal and external attacks on the system, our solution successfully detects internal and external attacks.

Digital Twin-Enabled Intelligent DDoS Detection Mechanism for Autonomous Core Networks

no code implementations19 Oct 2023 Yagmur Yigit, Bahadir Bal, Aytac Karameseoglu, Trung Q. Duong, Berk Canberk

Our contributions are three-fold: we first design a DDoS detection architecture based on the digital twin for ISP core networks.

feature selection

An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems

no code implementations7 Aug 2022 Akram Shafie, Chunhui Li, Nan Yang, Xiangyun Zhou, Trung Q. Duong

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

no code implementations6 Aug 2021 Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin, Long D. Nguyen, Octavia A. Dobre, Trung Q. Duong

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).

reinforcement-learning Reinforcement Learning (RL)

RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning

no code implementations5 Aug 2021 Khoi Khac Nguyen, Antonino Masaracchia, Tan Do-Duy, H. Vincent Poor, Trung Q. Duong

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.

Reinforcement Learning (RL) Scheduling

FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems

no code implementations4 Jul 2021 Van-Dinh Nguyen, Symeon Chatzinotas, Bjorn Ottersten, Trung Q. Duong

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.

Federated Learning

3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning

no code implementations6 Jun 2021 Khoi Khac Nguyen, Trung Q. Duong, Tan Do-Duy, Holger Claussen, and Lajos Hanzo

Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication.

reinforcement-learning Reinforcement Learning (RL)

Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning

no code implementations28 May 2021 Khoi Khac Nguyen, Saeed Khosravirad, Daniel Benevides da Costa, Long D. Nguyen, Trung Q. Duong

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.

Decision Making Reinforcement Learning (RL)

Physical Layer Security: Detection of Active Eavesdropping Attacks by Support Vector Machines

no code implementations2 Mar 2020 Tiep M. Hoang, Trung Q. Duong, Hoang Duong Tuan, Sangarapillai Lambotharan, Emi Garcia-Palacios, Long D. Nguyen

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

no code implementations4 Aug 2015 Tung T. Vu, Ha Hoang Kha, Trung Q. Duong, Nguyen-Son Vo

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.

Stochastic Optimization

Cannot find the paper you are looking for? You can Submit a new open access paper.