Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2020 Interna Joaquin Garcia-Alfaro,Guillermo Navarro-Arribas,J

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https://doi.org/10.1007/978-4-431-54246-9amed PDP-ReqLite initially inspired from ProPAn that introduces new artifacts for the documentation of personal data and information flows in a system-to-be. The purpose of PDP-ReqLite is to improve usability and applicability by reducing documentation overhead and complexity, and by introducing mea

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https://doi.org/10.1007/978-4-431-54246-9ile minimizing impact on useful non-sensitive information required by IoT services to provide a certain Quality of Service (QoS) on the other hand. Our evaluations over real-world datasets show that our algorithms are effective in maximizing QoS while preserving privacy.

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Data Privacy Management, Cryptocurrencies and Blockchain Technology978-3-030-66172-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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978-3-030-66171-7Springer Nature Switzerland AG 2020

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263002.jpg

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Resilience in the Asian Context(PPRL) conducts the linkage in a privacy-preserving context where private and sensitive information about individuals is not compromised. Linking records is considered as a classification task where pairs of records from different databases are classified into matches (i.e. they refer to the same en

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