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Titlebook: Computer Security -- ESORICS 2015; 20th European Sympos Günther Pernul,Peter Y A Ryan,Edgar Weippl Conference proceedings 2015 Springer Int

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發(fā)表于 2025-3-21 16:35:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Security -- ESORICS 2015
副標(biāo)題20th European Sympos
編輯Günther Pernul,Peter Y A Ryan,Edgar Weippl
視頻videohttp://file.papertrans.cn/234/233841/233841.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Security -- ESORICS 2015; 20th European Sympos Günther Pernul,Peter Y A Ryan,Edgar Weippl Conference proceedings 2015 Springer Int
描述.The two-volume set, LNCS 9326 and LNCS 9327 constitutes the refereed proceedings of the 20th European Symposium on Research in Computer Security, ESORICS 2015, held in Vienna, Austria, in September 2015...The 59 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers address issues such as networks and Web security; system security; crypto application and attacks; risk analysis; privacy; cloud security; protocols and attribute-based encryption; code analysis and side-channels; detection and monitoring; authentication; policies; and applied security..
出版日期Conference proceedings 2015
關(guān)鍵詞Applied security; Cloud security; Cryptography; Networks & web security; Risk analysis; Authentication; Cl
版次1
doihttps://doi.org/10.1007/978-3-319-24177-7
isbn_softcover978-3-319-24176-0
isbn_ebook978-3-319-24177-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Privacy-Preserving Observation in Public Spacesing, but in all other cases privacy is perfectly preserved. We analyze our protocol for computational efficiency and show that it can be efficiently implemented even on platforms with limited computing resources, such as smart cards and smart phones.
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CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud analysis shows that our solutions are practically-secure, and the ultimate solution offers a higher level of privacy protection than the-state-of-the-art on biometric identification outsourcing. We evaluate our protocols by implementing an efficient privacy-preserving fingerprint-identification sys
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Introduction: Power, History, Drama,mon permissions. Our evaluation over a broad spectrum of Android OSes, devices, and IMEs suggests such issue should be fixed immediately. All Android versions and most IME apps are vulnerable and private information, like contact names, location, etc., can be easily exfiltrated. Up to hundreds of mi
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https://doi.org/10.1007/978-1-349-00873-5ing, but in all other cases privacy is perfectly preserved. We analyze our protocol for computational efficiency and show that it can be efficiently implemented even on platforms with limited computing resources, such as smart cards and smart phones.
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Theoretical Position, Purpose and Motivationand construct two schemes for computing polynomials of high degree on the outsourced data. Our schemes allow ., ., and . of computation results. Both schemes allow new elements to be added to each outsourced dataset. The second scheme also allows new datasets to be added. A unique feature of our sch
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