Hyungchul Im

According to our database, Hyungchul Im authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

CNN-Based Intrusion Detection System for In-Vehicle Network Using Explainable AI.

Semin Kim, Jonggwon Kim, Hyungchul Im, Seongsoo Lee

Proceedings of the 40th International Conference on Information Networking, 2026

Multi-Layer Perceptron-Based Intrusion Detection System for UAVCAN Networks.

Seoyeon Kim, Hyungchul Im, Youngmin Jang, Seongsoo Lee

Proceedings of the 40th International Conference on Information Networking, 2026

A Lightweight Intrusion Detection System for Unmanned Aerial Vehicles Using CNN.

Hyungchul Im, Seoyeon Kim, Seongsoo Lee

Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025

TinyML-Based Intrusion Detection System for In-Vehicle Network Using Convolutional Neural Network on Embedded Devices.

Hyungchul Im, Seongsoo Lee

IEEE Embed. Syst. Lett., April, 2025

ASIC Design for Real-Time CAN-Bus Intrusion Detection and Prevention System Using Random Forest.

Junseok Lee, Sangmin Park, Sua Shin, Hyungchul Im, Joosock Lee, Seongsoo Lee

IEEE Access, 2025

Robust Intrusion Detection for In-Vehicle Networks Using a Semi-Supervised GAN Model.

Jonggwon Kim, Hyungchul Im, Seongsoo Lee

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

2024

A Novel Architecture for an Intrusion Detection System Utilizing Cross-Check Filters for In-Vehicle Networks.

Hyungchul Im, Donghyeon Lee, Seongsoo Lee

Sensors, May, 2024

A Novel Intrusion Detection System Using Cyclic Redundancy Check Field for In-Vehicle Networks.

Hyungchul Im, Naeun Park, Seongsoo Lee

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023

Listening to CAN: Anomaly Detection to Enhance In-Vehicle Network Security.

Hyungchul Im, Donghyeon Kim, Seongsoo Lee

Proceedings of the 13th IEEE International Conference on Consumer Electronics - Berlin, 2023