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Trust, Privacy and Security in Digital Business: 16th International Conference, TrustBus 2019, Linz, Austria, August 26–29, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11711

Editat de Stefanos Gritzalis, Edgar R. Weippl, Sokratis K. Katsikas, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil
en Limba Engleză Paperback – 2 aug 2019
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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Specificații

ISBN-13: 9783030278120
ISBN-10: 3030278123
Pagini: 177
Ilustrații: X, 177 p. 34 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Security and Cryptology

Locul publicării:Cham, Switzerland

Cuprins

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.