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2020 – today
- 2022
[j2]Sunwoo Ahn
, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek:
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 982-993 (2022)- [c3]Sunwoo Ahn, Seonggwan Ahn, Hyungjoon Koo, Yunheung Paek:
Practical Binary Code Similarity Detection with BERT-based Transferable Similarity Learning. ACSAC 2022: 361-374 - 2021
- [j1]Hyunjun Kim, Sunwoo Ahn, Whoi Ree Ha, Hyunjae Kang, Dong Seong Kim, Huy Kang Kim, Yunheung Paek:
Panop: Mimicry-Resistant ANN-Based Distributed NIDS for IoT Networks. IEEE Access 9: 111853-111864 (2021) - [d1]Sunwoo Ahn:
N1 dataset in the paper A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks" accepted by IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). IEEE DataPort, 2021
- 2020
- [c2]Sunwoo Ahn, Hayoon Yi, Younghan Lee, Whoi Ree Ha, Giyeol Kim, Yunheung Paek:
Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device. DAC 2020: 1-6
2010 – 2019
- 2018
- [c1]Donghyun Kwon, Jiwon Seo, Sehyun Baek, Giyeol Kim, Sunwoo Ahn, Yunheung Paek:
VM-CFI: Control-Flow Integrity for Virtual Machine Kernel Using Intel PT. ICCSA (5) 2018: 127-137 - [i1]Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek:
Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. CoRR abs/1803.09171 (2018)
Coauthor Index
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