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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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發(fā)表于 2025-3-21 17:12:58 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Cloud Computing and Security
副標題Third International
編輯Xingming Sun,Han-Chieh Chao,Elisa Bertino
視頻videohttp://file.papertrans.cn/229/228426/228426.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面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
關(guān)鍵詞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

書目名稱Cloud Computing and Security影響因子(影響力)




書目名稱Cloud Computing and Security影響因子(影響力)學(xué)科排名




書目名稱Cloud Computing and Security網(wǎng)絡(luò)公開度




書目名稱Cloud Computing and Security網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cloud Computing and Security被引頻次




書目名稱Cloud Computing and Security被引頻次學(xué)科排名




書目名稱Cloud Computing and Security年度引用




書目名稱Cloud Computing and Security年度引用學(xué)科排名




書目名稱Cloud Computing and Security讀者反饋




書目名稱Cloud Computing and Security讀者反饋學(xué)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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