Other Activities

From IPEN Wiki
Revision as of 23:27, 10 September 2016 by Antoniok (Talk | contribs)

Jump to: navigation, search

Introduction

This pages covers other activities which could be of interest: guidelines, studies, events

OWASP Top 10 Privacy Risk Project

Context

The OWASP Top 10 Privacy Risks Project provides a top 10 list for privacy risks in web applications and related countermeasures. It covers technological and organizational aspects that focus on real-life risks, not just legal issues. The Project provides tips on how to implement privacy by design in web applications with the aim of helping developers and web application providers to better understand and improve privacy. The list uses the OECD Privacy Guidelines as a framework and can also be used to assess privacy risks associated with specific web applications.

URL

https://www.owasp.org/index.php/OWASP_Top_10_Privacy_Risks_Project

Comments


Guidelines

EC Data Protection Impact Assessment Template for Smart Grid and Smart Metering Systems

Context

The Smart Grids Task Force was set up by the European Commission in 2009 to advise on issues related to smart grid deployment and development. One of the working group (WG2) is on security and privacy.

The EC has provided a Data Protection Impact Assessment Template for smart grid and smart metering systems.

The EC has decided to have a two-year trial of the template starting from March 2015.

URL

Smart grid task force: http://ec.europa.eu/energy/en/topics/markets-and-consumers/smart-grids-and-meters

Test phase for template: https://ec.europa.eu/energy/en/test-phase-data-protection-impact-assessment-dpia-template-smart-grid-and-smart-metering-systems

Documents Template document: https://ec.europa.eu/energy/sites/ener/files/documents/2014_dpia_smart_grids_forces.pdf
Comments

[Antonio Kung] 

  • Integrates lots of input from CNIL privacy risk analysis

CNIL Privacy Impact Assessment (PIA) Manual

Context

The CNIL is the French Data Protection Authority (DPA).

In June 2012, the CNIL published a guide on privacy risk management, applicable to complex processings or high risks scenarios. It helped data controllers to get an objective understanding of the risks arising from their processings, in order to select the necessary and sufficient security controls.

This guide was updated in July 2015 to remain in line with the European Data Protection Regulation project and the WP29’s work on the risk based approach. It also considers feedbacks and improvements proposed by different interested parties on privacy impact assessments guidelines. Three documents are available.

URL English web page:http://www.cnil.fr/english/news-and-events/news/article/privacy-impact-assessments-the-cnil-publishes-its-pia-manual/ 
Documents

Methodology: http://www.cnil.fr/fileadmin/documents/en/CNIL-PIA-1-Methodology-EN.pdf 

Tools (templates and knowledge bases): http://www.cnil.fr/fileadmin/documents/en/CNIL-PIA-2-Tools-EN.pdf

Good practices: http://www.cnil.fr/fileadmin/documents/en/CNIL-PIA-3-GoodPractices.pdf

Comments

[Antonio Kung]

  • It describes how to use the EBIOS method in the specific context of “Personal Data protection”. EBIOS – Expression des Besoins et Identification des Objectifs de Sécurité (Expression of Needs and Identification of Security Objectives) – is the name of the risk management method published by the Agence Nationale de la Sécurité des Systèmes d’Information (ANSSI, the French National Cybersecurity Agency).

[Matthieu Grall]

  • The PIA rests on two pillars:
    1. fundamental principles and rights, which are “non-negotiable”, established by law and which must be respected and cannot be subject to any variation, regardless of the nature, severity and likelihood of risks;
    2. management of data subjects’ privacy risks, which determines the appropriate technical and organizational controls to protect personal data.

Studies

NIST study on privacy risk management framework for Federal Information Systems

Context

NIST issued in May 2015 a draft report: NISTIR 8062, Privacy Risk Management for Federal Information Systems

The report describes a privacy risk management framework for federal information systems. The framework provides the basis for establishing a common vocabulary to facilitate better understanding of - and communication about - privacy risks and the effective implementation of privacy principles in federal information systems.

Comments are expected by July 13, 2015 at 5:00pm.

URL See 8062 dated May 28: http://csrc.nist.gov/publications/PubsDrafts.html and http://www.nist.gov/itl/201506_privacy_framework.cfm
Document

Draft document: http://csrc.nist.gov/publications/drafts/nistir-8062/nistir_8062_draft.pdf

Comment matrix form: http://csrc.nist.gov/publications/drafts/nistir-8062/nistir_8062_draft_comment_matrix.xls

Comments

[Antonio Kung]

  • defines 3 privacy engineering objectives (predictability, manageability, dissociability)
  • includes an impact factor which focuses on organisational aspects (e.g. reputation). Impact on citizen (e.g. stigmatization) are not included in the privacy risk equation (likelihood x impact) but they have an influence on the organisational impact

ENISA 2015 Study: Privacy and Data Protection-by-Design - from Policy to Engineering

Context

Report published in January 2015. Report aims to bridge the gap between the legal framework and the available technological implementation measures. It provides an inventory of the existing approaches and privacy design strategies, and the technical building blocks of various degree of maturity from research and development. Limitations and inherent constraints are presented with recommendations for their mitigation.

URL Announcement: https://www.enisa.europa.eu/media/news-items/deciphering-the-landscape-for-privacy-by-design
Document Report: https://www.enisa.europa.eu/activities/identity-and-trust/library/deliverables/privacy-and-data-protection-by-design/at_download/fullReport
Comments

[Antonio Kung]

  • highlights work from Jaap-Henk Hoepman.on Privacy design strategies, based on 4 data oriented strategies (minmise, hide, separate, aggregate) and 4 process oriented strategies (inform, control, enforce, demonstrate). This work is foundational.

Events

Sept 9 2016 3rd IPEN workshop, Frankfort https://secure.edps.europa.eu/EDPSWEB/edps/site/mySite/IPEN_Workshop_2016
Sept 7-8 2016 4th Annual Privacy Forum, Fra http://privacyforum.eu/
May 2016 IEEE International Workshop on Privacy Engineering http://ieee-security.org/TC/SPW2016/IWPE/program.html
January 27-29 2016 9th International conference, Computer Privacy & Data Protection conference, Brussels http://www.cpdpconferences.org/
October 23-26 2015 Amsterdam privacy conference http://www.apc2015.net/
October 7-8 2015 3rd Annual Privacy Forum, Luxemburg http://privacyforum.eu/
August 31-September 1 2015 CCC Privacy-by-design workshop, Pittsburgh http://www.cra.org/ccc/visioning/visioning-activities/privacy-by-design
July 8-9 2015

OASIS conference Ditton Manor UK (Building trust in a hyperconnected world)

https://www.oasis-open.org/events/hyperconnected-2015
June 5th 2015 IPEN Workshop Leuven https://secure.edps.europa.eu/EDPSWEB/edps/EDPS/IPEN/IPEN_Workshop_2015