Beongku An

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Professor

Hongik University

South Korea

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About

Beongku An is a Professor at Hongik University, South Korea. His research focuses on physical layer security, multicast routing, and efficient communication protocols in advanced network systems, particularly in cognitive radio networks, FANETs, and IoT-enabled environments. Recent articles include topics on enhancing security using blockchain, federated learning, and deep learning techniques in multi-hop transmission and network systems.

Recent Grants

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Network Coding based Cooperative Transmission and Cooperative Routing in Mobile Cognitive Ad-hoc Wireless Networks

Open Date: 2012-11-01

Close Date: 2015-11-01

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Collaborators (4)

KYUSUNG SHIM

Assistant Professor

Hankyong National University

SOUTH KOREA

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Daniel Benevides da Costa

SAUDI ARABIA

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Tri Nhu Do

Assistant Professor

Polytechnique Montréal

CANADA

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Byung-Seo Kim

Hongik University

SOUTH KOREA

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Beongku An

Research Interests

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About

Recent Grants

Articles (22)

Improving Physical Layer Security for Multi-Hop Transmissions in Underlay Cognitive Radio Networks with Various Eavesdropping Attacks

Secure Multicast Routing Against Collaborative Attacks in FANETs With CF-mMIMO and STAR-RIS: Blockchain and Federated Learning Design

Federated-Blockchain-Based Clustering Protocol for Enhanced Security and Connectivity in FANETs With CF-mMIMO

Enhancing Spectral Efficiency of Short-Packet Communications in STAR-RIS-Assisted SWIPT MIMO-NOMA Systems With Deep Learning

A Cross-Layer FL-Based Clustering Protocol to Support Multicast Routing in IoT-Enabled MANETs With CF-mMIMO

Energy Efficient Multicast Routing Protocol Using FL-Based Optimal Route Selection in IoT-Enabled MANETs With RIS and CF-mMIMO

Exploiting Opportunistic Scheduling Schemes on Cooperative NOMA Networks Under Active Eavesdropper

Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks

Unsupervised Learning-Based Joint Beamforming and Phase-Shift Optimization for RIS-Assisted DeepMIMO With Large-Scale Arrays

Opportunistic Scheduling Scheme to Improve Physical-Layer Security in Cooperative NOMA System: Performance Analysis and Deep Learning Design

QoS Multicast Routing Utilizing Cross-Layer Design for IoT-Enabled MANET in RIS-Aided Cell-Free Massive MIMO

DLSMR: Deep Learning-Based Secure Multicast Routing Protocol against Wormhole Attack in Flying Ad Hoc Networks with Cell-Free Massive Multiple-Input Multiple-Output

Secrecy Performance Analysis of Cooperative Multihop Transmission for WSNs under Eavesdropping Attacks

Adaptive User Pairing in Multi-IRS-Aided Massive MIMO-NOMA Networks: Spectral Efficiency Maximization and Deep Learning Design

Short-Packet Communications in Multihop Networks With WET: Performance Analysis and Deep Learning-Aided Optimization

A Deep-Learning-Based Secure Routing Protocol to Avoid Blackhole Attacks in VANETs

A Deep Reinforcement Learning-Based QoS Routing Protocol Exploiting Cross-Layer Design in Cognitive Radio Mobile Ad Hoc Networks

A Hybrid Price Auction-Based Secure Routing Protocol Using Advanced Speed and Cosine Similarity-Based Clustering against Sinkhole Attack in VANETs

Enhancing PHY-Security of FD-Enabled NOMA Systems Using Jamming and User Selection: Performance Analysis and DNN Evaluation

A Deep-Neural-Network-Based Relay Selection Scheme in Wireless-Powered Cognitive IoT Networks

A New Deep Q-Network Design for QoS Multicast Routing in Cognitive Radio MANETs

Short-Packet Communications in Wireless-Powered Cognitive IoT Networks: Performance Analysis and Deep Learning Evaluation

Collaborators (4)

KYUSUNG SHIM

Daniel Benevides da Costa

Tri Nhu Do

Byung-Seo Kim

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