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Privacy and Security in Personal Data Clouds
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The main objective of this study is to identify the different architectures and components of Personal Data Clouds (PDCs) and discuss their privacy and security challenges. Based on an empirical analysis of various applications that fall under, or are close to, the definition of PDCs, the study presents a “state of the art” analysis of the security and privacy features of PDCs.
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Security for Privacy on Data Protection Day
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On 28th January, ENISA joins 47 countries of the Council of Europe and the EU institutions, agencies and bodies, to celebrate the 11th annual European Data Protection Day.
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ENISA News
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Guidelines for SMEs on the security of personal data processing
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ENISA undertook a study to support SME’s on how to adopt security measures for the protection of personal data, following a risk-based approach. In particular, the objectives of the study were to facilitate SMEs in understanding the context of the personal data processing operation and subsequently assess the associated security risks.
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Being smart about cybersecurity: ENISA at Omnisecure conference
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ENISA participated at the Omnisecure conference taking place on the 16th-18th January, 2017 in Berlin. The event looks into smart ID solutions for products and services. This year’s themes focus on payments, e-Government, intelligent mobility and connected living.
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ENISA News
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PETs controls matrix - A systematic approach for assessing online and mobile privacy tools
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Following previous work in the field of privacy engineering, in 2016 ENISA defined the ‘PETs control matrix’, an assessment framework and tool for the systematic presentation and evaluation of online and mobile privacy tools for end users. The term ‘PET’ is used in the context of this work with a narrow focus, addressing standalone privacy tools or services (and not the broader concept of privacy enhancing technologies).
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SHA1
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PETs controls matrix
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WP2016 2 4 4 PETs control matrix - Annex 2 Excel Tool WIN version
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PETs controls matrix
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PETs controls matrix
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PETs control matrix Annex 1: Assessment questionnaires
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PETs controls matrix
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Annual Privacy Forum 2017: Call for papers
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Interested parties are invited to submit papers for the Annual Privacy Forum 2017.
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ENISA News