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Titlebook: Information Security; 13th International C Mike Burmester,Gene Tsudik,Ivana Ili? Conference proceedings 2011 Springer Berlin Heidelberg 201

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發(fā)表于 2025-3-21 17:27:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information Security
副標題13th International C
編輯Mike Burmester,Gene Tsudik,Ivana Ili?
視頻videohttp://file.papertrans.cn/466/465259/465259.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Security; 13th International C Mike Burmester,Gene Tsudik,Ivana Ili? Conference proceedings 2011 Springer Berlin Heidelberg 201
描述This book constitutes the refereed proceedings of the 13th International Conference on Information Security, ISC 2010, held in Boca Raton, FL, USA, in October 2010.The 25 revised full papers and the 11 short papers presented were carefully reviewed and selected from 117 submissions. The papers are organized in topical sections on attacks and analysis; analysis; authentication, PIR and content identification; privacy; malware, crimeware and code injection; intrusion detection; side channels; cryptography; smartphones; biometrics; cryptography, application; buffer overflow; and cryptography, theory.
出版日期Conference proceedings 2011
關(guān)鍵詞DNS; SHA-3; access control; anonymity; authentication; biometrics; block ciphers; classification; collision
版次1
doihttps://doi.org/10.1007/978-3-642-18178-8
isbn_softcover978-3-642-18177-1
isbn_ebook978-3-642-18178-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

書目名稱Information Security影響因子(影響力)




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書目名稱Information Security網(wǎng)絡(luò)公開度




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




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Efficient Computationally Private Information Retrieval from Anonymity or Trapdoor Groupss on either a Hidden Modular Group Order (HMGO) assumption, (a new assumption), or sender anonymity, and we present two specialized protocols, each of which depends on one of the two assumptions, respectively. For our trapdoor group protocol, we assume (the HMGO assumption) that given only the eleme
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Video Streaming Forensic – Content Identification with Traffic Snoopingo extract the long and short range dependencies within the video traffic. Statistical significance testing is utilized to construct an efficient matching algorithm. We evaluate the performance of the identification algorithm using a large video database populated with a variety of movies and TV show
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Yi Lu,Yvo DesmedtTwenty-first Century, (2) Coping with Major Organizational Change, (3) Organization Downsizing, (4) Evaluating the Human Resource Function and (5) The Impact of Corporate Culture on Future Human Resource Practices. Thirty papers were presented with discussion sessions at appropriate points in the me
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Nadhem J. AlFardan,Kenneth G. PatersonTwenty-first Century, (2) Coping with Major Organizational Change, (3) Organization Downsizing, (4) Evaluating the Human Resource Function and (5) The Impact of Corporate Culture on Future Human Resource Practices. Thirty papers were presented with discussion sessions at appropriate points in the me
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Elena Andreeva,Bart Mennink,Bart Preneeln for the Twenty-first Century, (2) Coping with Major Organizational Change, (3) Organization Downsizing, (4) Evaluating the Human Resource Function and (5) The Impact of Corporate Culture on Future Human Resource Practices. Thirty papers were presented with discussion sessions at appropriate points in the me978-1-4612-8270-9978-1-4613-0969-7
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