Hyunjae Kang

Orcid: 0000-0003-2044-1711

Affiliations:
  • University of Queensland, School of Electrical Engineering and Computer Science, Brisbane, QLD, Australia
  • Korea University, Graduate School of Information Security, Seoul, South Korea (former)


According to our database1, Hyunjae Kang authored at least 13 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A hybrid ensemble framework for unknown attack detection in IoT networks.
Future Gener. Comput. Syst., 2026

Lightweight Preprocessing Defenses for Robust Deepfake Detection Against Adversarial Perturbations.
Proceedings of the 5th ACM Workshop on security implications of Deepfakes and Cheapfakes, 2026

2025
Robustness Evaluation Under RGB-Camera Attacks in CARLA: A Systematic Evaluation of Color Modes and Attack Types.
Proceedings of the 30th IEEE Pacific Rim International Symposium on Dependable Computing, 2025

2024
X-CANIDS Dataset (In-Vehicle Signal Dataset).
Dataset, April, 2024

CANival: A multimodal approach to intrusion detection on the vehicle CAN bus.
Veh. Commun., 2024

2023
Infotainment System Matters: Understanding the Impact and Implications of In-Vehicle Infotainment System Hacking with Automotive Grade Linux.
Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

2021
Car Hacking: Attack & Defense Challenge 2020 Dataset.
Dataset, March, 2021

Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks.
IEEE Access, 2021

2019
IoT network intrusion dataset.
Dataset, September, 2019

2016
Andro-Dumpsys: Anti-malware system based on the similarity of malware creator and malware centric information.
Comput. Secur., 2016

2015
Detecting and Classifying Android Malware Using Static Analysis along with Creator Information.
Int. J. Distributed Sens. Networks, 2015

Andro-AutoPsy: Anti-malware system based on similarity matching of malware and malware creator-centric information.
Digit. Investig., 2015

2013
Who Is Sending a Spam Email: Clustering and Characterizing Spamming Hosts.
Proceedings of the Information Security and Cryptology - ICISC 2013, 2013


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