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020 _a9783030589868
_9978-3-030-58986-8
024 7 _a10.1007/978-3-030-58986-8
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050 4 _aQA76.9.A25
072 7 _aUR
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072 7 _aUTN
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072 7 _aCOM053000
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072 7 _aUR
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082 0 4 _a005.8
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245 1 0 _aTrust, Privacy and Security in Digital Business
_h[electronic resource] :
_b17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings /
_cedited by Stefanos Gritzalis, Edgar R. Weippl, Gabriele Kotsis, A Min Tjoa, Ismail Khalil.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 235 p. 69 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aSecurity and Cryptology,
_x2946-1863 ;
_v12395
505 0 _aAnalysis of uPort Open, an identity management blockchain-based solution -- Cloud Computing Framework for e-Health Security Requirements & Security Policy Rules Case Study: A European Cloud-based Health System -- On the Suitability of Using SGX for Secure Key Storage in the Cloud -- Employment of Secure Enclaves in CheatDetection Hardening -- SECONDO: A Platform for Cybersecurity Investments and Cyber Insurance Decisions -- Are Sensor Based Business Models a Threat to Privacy: The Case Of Pay-How-Your-Drive Insurance Models -- Microtargeting or Microphishing? Phishing Unveiled -- Privacy - Preserving Service Composition with Enhanced Flexibility and Efficiency -- An empirical Investigation of the right to explanation under GDPR in insurance -- Measuring users' socio-contextual attributes for Self-Adaptive Privacy within Cloud-Computing Environments -- Empowering Users Through a PrivacyMiddleware Watchdog -- Utility Requirement Description for Utility-preserving and Privacy-respecting Data Pseudonymization -- DEFeND DSM: A Data Scope Management Service for Model-Based Privacy by Design GDPR Compliance -- A Distributed Trust Framework for Privacy-Preserving Machine Learning -- A Fuzzy Trust Model for Autonomous Entities Acting in Pervasive Computing.
520 _aThis book constitutes the refereed proceedings of the 17th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2020, held in Bratislava, Slovakia, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 11 full and 4 short papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in the following topical sections: blockchain, cloud security/hardware; economics/privacy; human aspects; privacy; privacy and machine learning; trust.
650 0 _aData protection.
_97245
650 0 _aApplication software.
_989961
650 0 _aCryptography.
_91973
650 0 _aData encryption (Computer science).
_99168
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aArtificial intelligence.
_93407
650 1 4 _aData and Information Security.
_931990
650 2 4 _aComputer and Information Systems Applications.
_989962
650 2 4 _aCryptology.
_931769
650 2 4 _aComputer Engineering and Networks.
_989963
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aGritzalis, Stefanos.
_eeditor.
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700 1 _aWeippl, Edgar R.
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_989965
700 1 _aKotsis, Gabriele.
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_989966
700 1 _aTjoa, A Min.
_eeditor.
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_989967
700 1 _aKhalil, Ismail.
_eeditor.
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_989968
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030589875
830 0 _aSecurity and Cryptology,
_x2946-1863 ;
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_989970
856 4 0 _uhttps://doi.org/10.1007/978-3-030-58986-8
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