LEADER 04301nam 22007335 450 001 9910427716103321 005 20251225185104.0 010 $a3-030-58986-2 024 7 $a10.1007/978-3-030-58986-8 035 $a(CKB)4100000011445496 035 $a(DE-He213)978-3-030-58986-8 035 $a(MiAaPQ)EBC6349552 035 $a(PPN)256320217 035 $a(EXLCZ)994100000011445496 100 $a20200913d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTrust, Privacy and Security in Digital Business $e17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14?17, 2020, Proceedings /$fedited by Stefanos Gritzalis, Edgar R. Weippl, Gabriele Kotsis, A Min Tjoa, Ismail Khalil 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 235 p. 69 illus., 30 illus. in color.) 225 1 $aSecurity and Cryptology,$x2946-1863 ;$v12395 300 $aIncludes index. 311 08$a3-030-58985-4 327 $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. 330 $aThis book constitutes the refereed proceedings of the 17th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2020, held in Bratislava, Slovakia, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 11 full and 4 short papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in the following topical sections: blockchain, cloud security/hardware; economics/privacy; human aspects; privacy; privacy and machine learning; trust. 410 0$aSecurity and Cryptology,$x2946-1863 ;$v12395 606 $aData protection 606 $aApplication software 606 $aCryptography 606 $aData encryption (Computer science) 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aData and Information Security 606 $aComputer and Information Systems Applications 606 $aCryptology 606 $aComputer Engineering and Networks 606 $aArtificial Intelligence 615 0$aData protection. 615 0$aApplication software. 615 0$aCryptography. 615 0$aData encryption (Computer science) 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 14$aData and Information Security. 615 24$aComputer and Information Systems Applications. 615 24$aCryptology. 615 24$aComputer Engineering and Networks. 615 24$aArtificial Intelligence. 676 $a005.8 676 $a005.8 702 $aGritzalis$b Stefanos 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427716103321 996 $aTrust, Privacy and Security in Digital Business$9772437 997 $aUNINA