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Titlebook: Information Security Technology for Applications; 16th Nordic Conferen Peeter Laud Conference proceedings 2012 Springer-Verlag Berlin Heide

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發(fā)表于 2025-3-21 18:56:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information Security Technology for Applications
副標題16th Nordic Conferen
編輯Peeter Laud
視頻videohttp://file.papertrans.cn/466/465336/465336.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Security Technology for Applications; 16th Nordic Conferen Peeter Laud Conference proceedings 2012 Springer-Verlag Berlin Heide
描述This book constitutes the refereed proceedings of the 16th International Conference on Secure IT Systems, NordSec 2011, held in Tallinn, Estonia, October 26-28, 2011. The 16 revised papers presented together with 2 invited talks were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on applied cryptography, commercial security policies and their enforcement, communication and network security, security modeling and metrics, economics, law and social aspects of security, and software security and malware.
出版日期Conference proceedings 2012
關(guān)鍵詞digital signature; e-government; hardware security; privacy transparency; user identification
版次1
doihttps://doi.org/10.1007/978-3-642-29615-4
isbn_softcover978-3-642-29614-7
isbn_ebook978-3-642-29615-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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User Tracking on the Web via Cross-Browser Fingerprintings, the availability of a specific font set, the time zone, and the screen resolution are enough to uniquely identify most users of the five most popular web browsers, and that user agent strings are fairly effective but fragile identifiers of a browser instance.
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Methods for Privacy Protection Considering Status of Service Provider and User Community two elements: user background information of the provider and user community status. The monitoring is done before disclosing individual attributes corresponding to the privacy policy (i.e., the required anonymity level) by each user. The validity of the proposed methods was confirmed by a desk model.
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