연구소개
[최우수 저널 논문] - 이성환 교수님 연구실의 새 연구, IEEE Transactions on Emerging Topics in Computing에 게재 허가
- Date2022/04/25 09:33
- Hit 747
이성환 교수님의 새 연구, "PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection"가 IF 상위 6.52% (Computer Science, Information Systems 분야 161개 저널 중 11위) 저널인 IEEE Transactions on Emerging Topics in Computing에 게재 허가되었습니다.
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Dong-Ok Won, Yong-Nam Jang, and Seong-Whan Lee, “PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection,” IEEE Transactions on Emerging Topics in Computing, 2022 (Accepted).