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Trust, Privacy and Security in Digital Business [electronic resource] : 16th International Conference, TrustBus 2019, Linz, Austria, August 26-29, 2019, Proceedings / edited by Stefanos Gritzalis, Edgar R. Weippl, Sokratis K. Katsikas, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil.

Contributor(s): Gritzalis, Stefanos [editor.] | Weippl, Edgar R [editor.] | Katsikas, Sokratis K [editor.] | Anderst-Kotsis, Gabriele [editor.] | Tjoa, A Min [editor.] | Khalil, Ismail [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Security and Cryptology: 11711Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: X, 177 p. 34 illus., 27 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030278137.Subject(s): Data protection | Application software | Social sciences -- Data processing | Computers and civilization | Data and Information Security | Computer and Information Systems Applications | Computer Application in Social and Behavioral Sciences | Computers and SocietyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 Online resources: Click here to access online
Contents:
Do Identity and Location Data Interrelate? New Affiliations and Privacy Concerns in Social-Driven Sharing -- I Agree: Customize your Personal Data Processing with the CoRe User Interface -- I Did Not Accept That: Demonstrating Consent in Online Collection of Personal Data -- Privacy Policy Specification Framework for Addressing End-Users' Privacy Requirements -- A data utility-driven benchmark for de-identification methods -- DEFeND Architecture: a Privacy by Design Platform for GDPR Compliance -- General Data Protection Regulation and ISO/IEC 27001:2013: Synergies of activities towards organisations' compliance -- The interrelation of game elements and privacy requirements for the design of a system: A metamodel -- Decentralised and Collaborative Auditing of Workflows -- Gender Inference for Facebook Picture Owners -- Unifying cyber threat intelligence.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 16th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2019, held in Linz, Austria, in August 2019 in conjunction with DEXA 2019. The 11 full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: privacy; and audit, compliance and threat intelligence. The chapter "A data utility-driven benchmark for de-identification methods" is open access under a CC BY 4.0 license at link.springer.com.
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Do Identity and Location Data Interrelate? New Affiliations and Privacy Concerns in Social-Driven Sharing -- I Agree: Customize your Personal Data Processing with the CoRe User Interface -- I Did Not Accept That: Demonstrating Consent in Online Collection of Personal Data -- Privacy Policy Specification Framework for Addressing End-Users' Privacy Requirements -- A data utility-driven benchmark for de-identification methods -- DEFeND Architecture: a Privacy by Design Platform for GDPR Compliance -- General Data Protection Regulation and ISO/IEC 27001:2013: Synergies of activities towards organisations' compliance -- The interrelation of game elements and privacy requirements for the design of a system: A metamodel -- Decentralised and Collaborative Auditing of Workflows -- Gender Inference for Facebook Picture Owners -- Unifying cyber threat intelligence.

This book constitutes the refereed proceedings of the 16th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2019, held in Linz, Austria, in August 2019 in conjunction with DEXA 2019. The 11 full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: privacy; and audit, compliance and threat intelligence. The chapter "A data utility-driven benchmark for de-identification methods" is open access under a CC BY 4.0 license at link.springer.com.

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