악성코드의 효율적인 분석을 위한 안전한 오픈소스 함수에 대한 시그니처 기반 식별 도구
Vol. 27, No. 4, pp. 721-730,
8월.
2017
10.13089/JKIISC.2017.27.4.721, Full Text:
Keywords: Open Source, Signature-based Analysis, Opensource Safety Identification
Abstract Statistics
Cite this article
10.13089/JKIISC.2017.27.4.721, Full Text:
Keywords: Open Source, Signature-based Analysis, Opensource Safety Identification
Abstract Statistics
Cite this article
[IEEE Style]
S. Lee, J. Yang, W. Jung, Y. Kim, E. Cho, "A Tool for Signature-Based Identification of Safe Open-Source Functions Toward Efficient Malware Analysis," Journal of The Korea Institute of Information Security and Cryptology, vol. 27, no. 4, pp. 721-730, 2017. DOI: 10.13089/JKIISC.2017.27.4.721.
[ACM Style]
Seoksu Lee, Jonghwan Yang, Woosik Jung, Yeongcheol Kim, and Eun-Sun Cho. 2017. A Tool for Signature-Based Identification of Safe Open-Source Functions Toward Efficient Malware Analysis. Journal of The Korea Institute of Information Security and Cryptology, 27, 4, (2017), 721-730. DOI: 10.13089/JKIISC.2017.27.4.721.