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Titlebook: Data and Applications Security and Privacy XXVII; 27th Annual IFIP WG Lingyu Wang,Basit Shafiq Conference proceedings 2013 IFIP Internatio

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發(fā)表于 2025-3-21 19:24:11 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data and Applications Security and Privacy XXVII
副標題27th Annual IFIP WG
編輯Lingyu Wang,Basit Shafiq
視頻videohttp://file.papertrans.cn/264/263231/263231.mp4
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data and Applications Security and Privacy XXVII; 27th Annual IFIP WG  Lingyu Wang,Basit Shafiq Conference proceedings 2013 IFIP Internatio
描述This book constitutes the refereed proceedings of the 27th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2013, held in Newark, NJ, USA in July 2013. The 16 revised full and 6 short papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on privacy, access control, cloud computing, data outsourcing, and mobile computing.
出版日期Conference proceedings 2013
關鍵詞access control; data mining; malware; outsourcing; traffic monitoring
版次1
doihttps://doi.org/10.1007/978-3-642-39256-6
isbn_softcover978-3-642-39255-9
isbn_ebook978-3-642-39256-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2013
The information of publication is updating

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https://doi.org/10.1007/978-3-319-24177-7edly and then proved to be confidentiality preserving, even if an attacker employs some restricted but nevertheless versatile class of a priori knowledge to draw inferences. Finally, a method to compute a secure fragmentation schema is developed.
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Darion Cassel,Yan Huang,Limin Jiarify that the server returned correct mining result? In this paper, we focus on the problem of frequent itemset mining, and propose efficient and practical probabilistic verification approaches to check whether the server has returned correct and complete frequent itemsets.
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Kangjie Lu,Aditya Pakki,Qiushi Wuinto the definition of privacy-preserving drawer size standard for the biometric setbase. We also empirically evaluate the system reliability of the prototype setbase for the purpose of studying the trade-off values between the level of privacy protection and the level of system security.
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Florian Kerschbaum,Hoon Wei Limze domain knowledge in order to mitigate the effect of perturbation error. Evaluations with simulated traffic data show our solutions outperform existing methods in both utility and computation efficiency, enabling real-time data sharing with strong privacy guarantee.
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Jun Zhou,Zhenfu Cao,Xiaolei Dongthe disk and are invisible by the file system. When the cloud providers share the dedicated disk with other users, such misuses can be detected since the shadow data will be overwritten and become irretrievable. We describe the theoretical framework of . and show experimentally that . works well in practice.
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