Overview

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.

Full Product Details

Author:   Stefanos Gritzalis ,  Edgar R. Weippl ,  Gabriele Kotsis ,  A Min Tjoa
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12395
Weight:   0.454kg
ISBN:  

9783030589851

ISBN 10:   3030589854
Pages:   235
Publication Date:   14 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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 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.

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