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Trust, Privacy and Security in Digit...
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Gritzalis, Stefanos.
Trust, Privacy and Security in Digital Business = 17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Trust, Privacy and Security in Digital Business/ edited by Stefanos Gritzalis, Edgar R. Weippl, Gabriele Kotsis, A Min Tjoa, Ismail Khalil.
其他題名:
17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings /
其他作者:
Khalil, Ismail.
面頁冊數:
X, 235 p. 69 illus., 30 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-58986-8
ISBN:
9783030589868
Trust, Privacy and Security in Digital Business = 17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings /
Trust, Privacy and Security in Digital Business
17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings /[electronic resource] :edited by Stefanos Gritzalis, Edgar R. Weippl, Gabriele Kotsis, A Min Tjoa, Ismail Khalil. - 1st ed. 2020. - X, 235 p. 69 illus., 30 illus. in color.online resource. - Security and Cryptology ;12395. - Security and Cryptology ;9241.
Analysis 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 Privacy Middleware 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.
This 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.
ISBN: 9783030589868
Standard No.: 10.1007/978-3-030-58986-8doiSubjects--Topical Terms:
646849
Artificial Intelligence.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Trust, Privacy and Security in Digital Business = 17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings /
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Analysis 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 Privacy Middleware 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.
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