Quantification of side-channel information leaks based on data complexity measures for web browsing (EI收录) | |
He, Zhi-Min[1]; Chan, Patrick P. K.[1]; Yeung, Daniel S.[1]; Pedrycz, Witold[2,3]; Ng, Wing W. Y.[1] | |
刊名 | International Journal of Machine Learning and Cybernetics
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2015 | |
卷号 | 6页码:607-619 |
关键词 | Codes (symbols) Complex networks Social networking (online) Web browsers Websites |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2211155 |
专题 | 华南理工大学 |
作者单位 | 1.[1] School of Computer Science and Engineering, South China University of Technology, Guangzhou, China 2.[2] Department of Electrical and Computer Engineering, University of Alberta, Edmonton 3.AB, Canada 4.[3] Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland |
推荐引用方式 GB/T 7714 | He, Zhi-Min[1],Chan, Patrick P. K.[1],Yeung, Daniel S.[1],等. Quantification of side-channel information leaks based on data complexity measures for web browsing (EI收录)[J]. International Journal of Machine Learning and Cybernetics,2015,6:607-619. |
APA | He, Zhi-Min[1],Chan, Patrick P. K.[1],Yeung, Daniel S.[1],Pedrycz, Witold[2,3],&Ng, Wing W. Y.[1].(2015).Quantification of side-channel information leaks based on data complexity measures for web browsing (EI收录).International Journal of Machine Learning and Cybernetics,6,607-619. |
MLA | He, Zhi-Min[1],et al."Quantification of side-channel information leaks based on data complexity measures for web browsing (EI收录)".International Journal of Machine Learning and Cybernetics 6(2015):607-619. |
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