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전예진,김진이,안준선,Jeon, YeJin,Kim, Jin-e,Ahn, Joonseon 한국정보보호학회 2022 정보보호학회논문지 Vol.32 No.2
Many attempts have been made to apply image recognition based on machine learning which has recently advanced dramatically to malware detection. They convert executable files to images and train deep learning networks like CNN to recognize or categorize dangerous executable files, which shows promising results. In this study, we are looking for an effective image generation method that may be used to identify malware using machine learning. To that end, we experiment and assess the effectiveness of various image generation methods in relation to malware detection. Then, we suggest a linear image creation method which represents control flow more clearly and our experiment shows our method can result in better precision in malware detection.
노나현(Nahyeon Roh),김아람(Aram Kim),박민지(Minji Park),박민혜(Minhye Park),전예진(Yejin Jeon),김가은(Kaeun Kim),백유진(Yujin Baek),오은미(Eunmi Oh),오세종(Sejong Oh) 대한기계학회 2014 대한기계학회 춘추학술대회 Vol.2014 No.11
In this study, numerical study is conducted to suggest wing which reduce the vortex strength generated by the leading aircraft. The wing with 3 holes is suggested, which is named as Raon-hajae. Computational grid is created by using pointwise. ANSYS Fluent is employed with the incompressible assumption and RSM turbulence model. As a result of this study, it is confirmed that decrement of lift coefficient is 2.1% and increment of drag coefficient is 11.8%. Nevertheless penalty of aerodynamic performance, reduction of vortex strength is confirmed up to 63%.