2024
- Youngbae Kim, Nader Alnatsheh, Nandakishor Yadav, Jaeik Cho, Heeyoung Jo, Kyuwon Ken Choi, “A Novel CNFET SRAM-Based Compute-In-Memory for BNN Considering Chirality and Nanotubes”, p2192, Electronics, 2024
- Minseo Kim, Seungho Jeon, Jake Cho, Seonghyeon Gong, “Data-Driven ICS Network Simulation for Synthetic Data Generation”, p1920, Electronics, 2024
- Sai Sree Koneru, Jake Cho, “Bridging the Gap: A Comparative Analysis of ICS and IT Datasets for IDS Evaluation”, IEEE, 2024
2023
- Alnatsheh, N., Kim, Y., Cho, J., & Choi, K. K. (2023). A Novel 8T XNOR-SRAM: Computing-in-Memory Design for Binary/Ternary Deep Neural Networks. Electronics, 12(4), 877.
- Choi, G., Jeon, S., Cho, J., & Moon, J. (2023). A Seed Scheduling Method With a Reinforcement Learning for a Coverage Guided Fuzzing. IEEE Access, 11, 2048-2057.
- Jo, J., Cho, J., & Moon, J. (2023). A Malware Detection and Extraction Method for the Related Information Using the ViT Attention Mechanism on Android Operating System. Applied Sciences, 13(11), 6839.
2022
- Cho, J., Gong, S., & Choi, K. (2022). A Study on High-Speed Outlier Detection Method of Network Abnormal Behavior Data Using Heterogeneous Multiple Classifiers. Applied Sciences, 12(3), 1011.
2021
- Jaeik Cho, Seunghyun Gong, Ken Choi, “A Study on High Speed Outlier Detection Method of Network Abnormal Behavior Data Using Heterogeneous Multiple Classifiers”, Applied Science, 2021 (Under final review)
2020
- Sungjin Kim, Jaeik Cho, Changhoon Lee, Taeshik Shon, “Smart Seed Selection based Effective Black Box Fuzzing for IIoT protocol”, Springer-Verlag, Journal of Supercomputing, 2020
