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Titlebook: ICT Systems Security and Privacy Protection; 37th IFIP TC 11 Inte Weizhi Meng,Simone Fischer-Hübner,Christian D. Jen Conference proceedings

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发表于 2025-3-21 18:41:29 | 显示全部楼层 |阅读模式
书目名称ICT Systems Security and Privacy Protection
副标题37th IFIP TC 11 Inte
编辑Weizhi Meng,Simone Fischer-Hübner,Christian D. Jen
视频video
丛书名称IFIP Advances in Information and Communication Technology
图书封面Titlebook: ICT Systems Security and Privacy Protection; 37th IFIP TC 11 Inte Weizhi Meng,Simone Fischer-Hübner,Christian D. Jen Conference proceedings
描述This book constitutes the refereed proceedings of the 37th IFIP TC 11 International Conference on Information Security and Privacy Protection, SEC 2022, held in Copenhagen, Denmark, in June 2022. The 29 full papers presented were carefully reviewed and selected from 127 submissions. The papers present novel research on theoretical and practical aspects of security and privacy protection in information processing systems. They are organized in topical sections on privacy models and preferences; network security and IDS; network security and privacy; forensics; trust and PETs; crypto-based solutions; usable security; blockchain; mobile security and privacy; PETs and crypto; and vulnerabilities..
出版日期Conference proceedings 2022
关键词access control; Applied cryptography; Audit and risk analysis; authentication; Big data security and pri
版次1
doihttps://doi.org/10.1007/978-3-031-06975-8
isbn_softcover978-3-031-07944-3
isbn_ebook978-3-031-06975-8Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2022
The information of publication is updating

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Deriving and Using Synthetic Consequences for Privacy Risk Modelingdels revolve around adverse consequences, i.e., typologies of bad privacy outcomes. The attendant mirror issues of insufficient contextual nuance (too few/general consequences) versus problematic analytical manageability (too many/granular consequences) can be addressed through the development of sy
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DAEMON: Dynamic Auto-encoders for Contextualised Anomaly Detection Applied to Security MONitoringed by their lack of data science expertise and the insufficient explainability of the results provided by these approaches. In this paper, we present an anomaly-based detection method that fuses events coming from heterogeneous sources into sets describing the same phenomenons and relies on a deep a
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D-Cloud-Collector: Admissible Forensic Evidence from Mobile Cloud Storage-device capacity, provides an avenue for a forensic collection process that does not require physical access to the device. Rather, it is possible to remotely retrieve credentials from a device of interest through undercover operations, followed by live cloud forensics. While technologically appeali
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