Overview
- Examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR
- Focuses on the study of mobile ubiquitous computing and decentralized file storage systems
- Examines modern emerging platforms and decentralized technologies
Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 26)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.
Authors and Affiliations
Bibliographic Information
Book Title: Privacy and Data Protection Challenges in the Distributed Era
Authors: Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis
Series Title: Learning and Analytics in Intelligent Systems
DOI: https://doi.org/10.1007/978-3-030-85443-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-85442-3Published: 23 October 2021
Softcover ISBN: 978-3-030-85445-4Published: 24 October 2022
eBook ISBN: 978-3-030-85443-0Published: 22 October 2021
Series ISSN: 2662-3447
Series E-ISSN: 2662-3455
Edition Number: 1
Number of Pages: XIX, 185
Number of Illustrations: 10 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence