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Security for Privacy on Data Protection Day
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.
Located in News / ENISA News
Report/Study Guidelines for SMEs on the security of personal data processing
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.
Located in Publications
Being smart about cybersecurity: ENISA at Omnisecure conference
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.
Located in News / ENISA News
Report/Study PETs controls matrix - A systematic approach for assessing online and mobile privacy tools
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).
Located in Publications
File SHA1
Located in Publications / PETs controls matrix
File WP2016 2 4 4 PETs control matrix - Annex 2 Excel Tool WIN version
Located in Publications / PETs controls matrix
PETs controls matrix
Located in Publications
File ECMAScript program PETs control matrix Annex 1: Assessment questionnaires
Located in Publications / PETs controls matrix
Annual Privacy Forum 2017: Call for papers
Interested parties are invited to submit papers for the Annual Privacy Forum 2017.
Located in News / ENISA News
File Pascal source code Annual Privacy Forum 2017-Call for papers
Located in News / ENISA News

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