Hybrid malware detection approach with feedback-directed machine learning

doi:10.1007/s11432-018-9615-8

	Hybrid malware detection approach with feedback-directed machine learning
	Li, Zhetao 1,2; Li, Wenlin 1,2; Lin, Fuyuan 3,4; Sun, Yi 3,4; Yang, Min 5,6,7,8; Zhang, Yuan 5,8; Wang, Zhibo 9
	2020-02-11
发表期刊	SCIENCE CHINA-INFORMATION SCIENCES
ISSN	1674-733X
卷号	63 期号:3 页码:3
DOI	10.1007/s11432-018-9615-8
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFB1003702] ; National Natural Science Foundation of China[61872274] ; Hunan Provincial Natural Science Foundation of China for Distinguished Young Scholars[2018JJ1025]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000514917700001
出版者	SCIENCE PRESS
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14573
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Zhibo
作者单位	1.Xiangtan Univ, Hunan Prov Key Lab Internet Things & Informat Sec, Xiangtan 411105, Peoples R China 2.Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China 6.Shanghai Inst Intelligent Elect & Syst, Shanghai 200433, Peoples R China 7.Shanghai Inst Adv Commun & Data Sci, Shanghai 200433, Peoples R China 8.Fudan Univ, Shanghai Key Lab Data Sci, Shanghai 200433, Peoples R China 9.Wuhan Univ, Sch Cyber Sci & Engn, Wuhan 430072, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhetao,Li, Wenlin,Lin, Fuyuan,et al. Hybrid malware detection approach with feedback-directed machine learning[J]. SCIENCE CHINA-INFORMATION SCIENCES,2020,63(3):3.
APA	Li, Zhetao.,Li, Wenlin.,Lin, Fuyuan.,Sun, Yi.,Yang, Min.,...&Wang, Zhibo.(2020).Hybrid malware detection approach with feedback-directed machine learning.SCIENCE CHINA-INFORMATION SCIENCES,63(3),3.
MLA	Li, Zhetao,et al."Hybrid malware detection approach with feedback-directed machine learning".SCIENCE CHINA-INFORMATION SCIENCES 63.3(2020):3.