Native API 의 효과적인 전처리 방법을 이용한 악성 코드 탐지 방법에 관한 연구
Vol. 22, No. 4, pp. 785-796,
8월.
2012
10.13089/JKIISC.2012.22.4.785,
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Keywords: Malicious Code, Intrusion Detection System, GLDA
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Keywords: Malicious Code, Intrusion Detection System, GLDA
Abstract Statistics
Cite this article
[IEEE Style]
S. Bae, J. Cho, T. Shon and J. Moon, "Malicious Code Detection using the Effective Preprocessing Method Based on Native API," Journal of The Korea Institute of Information Security and Cryptology, vol. 22, no. 4, pp. 785-796, 2012. DOI: 10.13089/JKIISC.2012.22.4.785.
[ACM Style]
Seong-Jae Bae, Jae-Ik Cho, Tae-Shik Shon, and Jong-Sub Moon. 2012. Malicious Code Detection using the Effective Preprocessing Method Based on Native API. Journal of The Korea Institute of Information Security and Cryptology, 22, 4, (2012), 785-796. DOI: 10.13089/JKIISC.2012.22.4.785.