ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Malware Detection using Malware Image and Deep Learning
Cited 13 time in scopus Download 4 time Share share facebook twitter linkedin kakaostory
저자
최선오, 장성욱, 김영수, 김종현
발행일
201710
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1194-1196
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190895
협약과제
17HH1900, 맞춤형 보안서비스 제공을 위한 클라우드 기반 지능형 보안 기술 개발, 김종현
초록
These days a lot of malware are generated. In order to deal with the new malware, we need new ways to detect malware. In this paper, we introduce a method to detect malware using deep learning. First, we generate images from benign files and malware. Second, by using deep learning, we train a model to detect malware. Then, by the trained model, we detect malware. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
키워드
Deep Learning, Malware Detection
KSP 제안 키워드
Dynamic analysis, Malware Image, Malware detection, deep learning(DL), detect malware, static analysis