Young-Giu Jung

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Enhanced EM-Based Malware Detection for IoT Devices Using Clock Frequency Analysis.
IEEE Trans. Computers, January, 2026

TAMIS: Golden-Model-Free EM Trojan Detection via Temperature-Aware Multi-Instance Segmentation and Clustering.
IEEE Access, 2026

2025
ProbeShooter: A New Practical Approach for Probe Aiming.
Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024
Robust Hardware Trojan Detection Method by Unsupervised Learning of Electromagnetic Signals.
IEEE Trans. Very Large Scale Integr. Syst., December, 2024

Deep belief networks based radar signal classification system.
J. Ambient Intell. Humaniz. Comput., February, 2024

2020
Deep neural network-based automatic unknown protocol classification system using histogram feature.
J. Supercomput., 2020

2018
Neural network-based radar signal classification system using probability moment and ApEn.
Soft Comput., 2018

Automatic Classification of Transformed Protocols Using Deep Learning.
Proceedings of the Parallel and Distributed Computing, 2018

2017
The Development of an IMU Integrated Clothes for Postural Monitoring Using Conductive Yarn and Interconnecting Technology.
Sensors, 2017

Context Based Multiple Players Identification in Sports Images.
Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2017

2016
Multi-class Multi-object Tracking Using Changing Point Detection.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014
Improving performance of X-rated video classification with the optimized repeated curve-like spectrum feature and the skip-and-analysis processing.
Multim. Tools Appl., 2014

2008
Recognition of Voice and Hand Activity Through Fusion of Acceleration and Speech.
Proceedings of the Workshop on Cross-Media Information Analysis, 2008

2007
Zero-Crossing-Based Feature Extraction for Voice Command Systems Using Neck-Microphones.
Proceedings of the Advances in Neural Networks, 2007


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