하이브리드 특징 및 기계학습을 활용한 효율적인 악성코드 분류 시스템 개발 연구
Vol. 28, No. 5, pp. 1161-1167,
9월.
2018
10.13089/JKIISC.2018.28.5.1161, Full Text:
Keywords: Malware, Classification, Machine Learning, ssdeep
Abstract Statistics
Cite this article
10.13089/JKIISC.2018.28.5.1161, Full Text:
Keywords: Malware, Classification, Machine Learning, ssdeep
Abstract Statistics
Cite this article
[IEEE Style]
유정빈, 오상진, 박래현, 권태경, "Development Research of An Efficient Malware Classification System Using Hybrid Features And Machine Learning," Journal of The Korea Institute of Information Security and Cryptology, vol. 28, no. 5, pp. 1161-1167, 2018. DOI: 10.13089/JKIISC.2018.28.5.1161.
[ACM Style]
유정빈, 오상진, 박래현, and 권태경. 2018. Development Research of An Efficient Malware Classification System Using Hybrid Features And Machine Learning. Journal of The Korea Institute of Information Security and Cryptology, 28, 5, (2018), 1161-1167. DOI: 10.13089/JKIISC.2018.28.5.1161.