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

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Brief Intervention in Primary Health Care. One potential cause of these violations may be the ad hoc nature of the implementation of privacy measures within software systems, which may stem from the poor representation of privacy within many Software Development LifeCycle (SDLC) processes. We propose to give privacy a higher priority withi

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P-Signature-Based Blocking to Improve the Scalability of Privacy-Preserving Record Linkage including healthcare, national security, businesses, and government services. However, privacy and confidentiality concerns impede the sharing of personal identifying values to conduct linkage across different organizations. Privacy-preserving record linkage (PPRL) techniques have been developed to

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Utility Promises of , in Privacy Preserving Data Miningoses severe threats to individuals’ privacy because it can be exploited to allow inferences to be made on sensitive data. Researchers have proposed several privacy-preserving data mining techniques to address this challenge. One unique method is by extending anonymisation privacy models in data mini

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Multi-criteria Optimization Using ,-diversity and ,-closeness for ,-anonymizationlements. This principle guarantees a good privacy while limiting the data alteration. Within the .-anonymization process, only quasi-identifier attributes are considered. Sensitive attributes are not. As a consequence, in .-anonymous tables, sensitive values might be disclosed. Thus, the concepts of

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