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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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書(shū)目名稱Cloud Computing and Security
副標(biāo)題Third International
編輯Xingming Sun,Han-Chieh Chao,Elisa Bertino
視頻videohttp://file.papertrans.cn/229/228428/228428.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)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 privacy and security; digital rights mana
版次1
doihttps://doi.org/10.1007/978-3-319-68505-2
isbn_softcover978-3-319-68504-5
isbn_ebook978-3-319-68505-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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A Novel Robust Reversible Watermarking Scheme Based on IWTs respectively. Firstly, the robust watermarks are embedded into the mid-low frequency coefficients after the image transformed from spatial domain to frequency domain. Then, side information that used to ensure the reversibility is embedded in spatial domain by the form of fragile watermarks. 5-3 i
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Quantum Computer Simulation on GPU Cluster Incorporating Data Localitysable platform for this task. However, the high cost of communication between GPUs makes the simulation inefficiency. To overcome this drawback, we propose the following two methods. (1) A method for GPU cluster quantum simulation to improve the data locality is introduced, and two schemes for data
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