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Privacy and Data Protection Challenges in the Distributed Era / / by Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis



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Autore: Politou Eugenia Visualizza persona
Titolo: Privacy and Data Protection Challenges in the Distributed Era / / by Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (195 pages)
Disciplina: 005.8
Soggetto topico: Computational intelligence
Engineering - Data processing
Artificial intelligence
Computational Intelligence
Data Engineering
Artificial Intelligence
Nota di contenuto: Chapter 1: Introduction -- Chapter 2: Privacy and personal data protection -- Chapter 3: The General Data Protection Regulation -- Chapter 4: The “Right to be Forgotten” in the GDPR: Implementation challenges and potential solutions -- Chapter 5: State-of-the-art technological developments.
Sommario/riassunto: 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.
Titolo autorizzato: Privacy and data protection challenges in the distributed era  Visualizza cluster
ISBN: 3-030-85443-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910523754303321
Lo trovi qui: Univ. Federico II
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Serie: Learning and Analytics in Intelligent Systems, . 2662-3455 ; ; 26