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학술대회 Similarity Hash Index
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저자
최선오, 김영수, 김종현
발행일
201810
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1298-1300
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539650
협약과제
18HH1400, 맞춤형 보안서비스 제공을 위한 클라우드 기반 지능형 보안 기술 개발, 김종현
초록
Hundreds of thousands of new malicious files are being created every day. Existing pattern-based vaccine engines cannot detect these new malicious files. To solve these problems, artificial intelligence based malicious file detection methods have been proposed. However, artificial intelligence based malicious file detection method has a disadvantage that takes long time because it requires dynamic analysis. We can use similarity hashes to solve these problems and find similar files. However, it also takes a long time to compare similarity hashes when there are many files. To solve this problem, this paper proposes a method to generate similarity hash index.
키워드
index, local sensitive hash, similarity hash
KSP 제안 키워드
Detection Method, Dynamic analysis, File detection, HASH index, Long Time, Pattern-based, artificial intelligence