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

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Barbara Pusca,Gerhard Lang,Ricarda Kutschera which, if compromised, allows the attacker to decrypt everything, effectively instantly. Security of encrypted data thus becomes a question of protecting the encryption keys. In this paper, we propose using . to construct a ., where decryption of a file is only possible after the requester, whether

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Jill Hanley,Jaime Lenet,Sigalit Gall) locations together with the semantic information associated with their locations. The semantic information captures the type of a location and is usually represented by a semantic tag. Semantic tag sharing increases the threat to users’ . which is already at risk because of location sharing. The

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https://doi.org/10.1007/978-4-431-54246-9and outside Europe. In order to achieve high compliance, software developers must consider those privacy and data protection goals defined across the different legal provisions in the GDPR. Prior work has introduced methods to systematically extract taxonomies of privacy requirements out of the GDPR

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https://doi.org/10.1007/978-4-431-54246-9style authentication has become a new research approach in which the promising idea is to use the location history since it is relatively unique. Even when people live in the same area or have occasional travel, it does not vary from day to day. For Global Positioning System (GPS) data, previous wor