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Titlebook: Cloud Computing and Security; Third International Xingming Sun,Han-Chieh Chao,Elisa Bertino Conference proceedings 2017 Springer Internati

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发表于 2025-3-21 17:12:58 | 显示全部楼层 |阅读模式
书目名称Cloud Computing and Security
副标题Third International
编辑Xingming Sun,Han-Chieh Chao,Elisa Bertino
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Cloud Computing and Security; Third International  Xingming Sun,Han-Chieh Chao,Elisa Bertino Conference proceedings 2017 Springer Internati
描述.This two volume set LNCS 10602 and LNCS 10603 constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Cloud Computing and Security, ICCCS 2017, held in Nanjing, China, in June 2017.. .The 116 full papers and 11 short papers of these volumes were carefully  reviewed and selected from 391 submissions. The papers are organized in  topical sections such as: information hiding; cloud computing;  IOT applications; information security; multimedia applications; optimization  and classification..
出版日期Conference proceedings 2017
关键词security protocols; Web protocol security; theory of database rivacy and security; digital rights manag
版次1
doihttps://doi.org/10.1007/978-3-319-68542-7
isbn_softcover978-3-319-68541-0
isbn_ebook978-3-319-68542-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

书目名称Cloud Computing and Security影响因子(影响力)




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书目名称Cloud Computing and Security网络公开度




书目名称Cloud Computing and Security网络公开度学科排名




书目名称Cloud Computing and Security被引频次




书目名称Cloud Computing and Security被引频次学科排名




书目名称Cloud Computing and Security年度引用




书目名称Cloud Computing and Security年度引用学科排名




书目名称Cloud Computing and Security读者反馈




书目名称Cloud Computing and Security读者反馈学科排名




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DLPDS: Learning Users’ Information Sharing Behaviors for Privacy Default Setting in Recommender Systttings. The result of the experiment support that our DLPDS model could gain users’ trust and aggregate more users information, and that adapting the privacy default settings to the user information sharing pattern may results in positive feedback that promoting better prediction accuracy of the rec
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https://doi.org/10.1007/978-3-322-88387-2ttings. The result of the experiment support that our DLPDS model could gain users’ trust and aggregate more users information, and that adapting the privacy default settings to the user information sharing pattern may results in positive feedback that promoting better prediction accuracy of the rec
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Xingming Sun,Han-Chieh Chao,Elisa BertinoIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/228426.jpg
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978-3-319-68541-0Springer International Publishing AG 2017
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