KYUSUNG SHIM

Assistant Professor

Hankyong National University

South Korea

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About

Kyusung Shim is an Assistant Professor at Hankyong National University, South Korea. His research interests encompass physical layer security, multicast routing, and secure networking protocols, with a focus on innovative frameworks that enhance security in cognitive radio networks and mobile ad hoc networks. He has contributed to the field through various recent articles addressing topics such as cooperative NOMA systems, federated learning, and blockchain technologies in wireless communication.

Articles (18)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

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

Professor

Hongik University

SOUTH KOREA

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KYUSUNG SHIM

Research Interests

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About

Articles (18)

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

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

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

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

A Game Theory Based Clustering Protocol to Support Multicast Routing in Cognitive Radio Mobile Ad Hoc Networks

Collaborators (4)

Daniel Benevides da Costa

Tri Nhu Do

Byung-Seo Kim

Beongku An

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