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Enabling Crowd-sourcing-based Privacy Risk Assessment in EU: the Privacy Flag Project

Published: 28 September 2017 Publication History

Abstract

Personal data have become merchandisable asset encouraging stakeholders to collect and trade them without end-user's awareness and acceptance. Although EU is adapting the legal framework, the extent of applications most of which are developed from outside the EU jurisdiction, strongly limit the possibility to effectively impose a privacy-protection framework globally. The Privacy Flag project researches and combines the potential of crowdsourcing, ICT technologies and legal expertise for enabling citizens monitoring and controlling their privacy1.

References

[1]
The Privacy Flag Project Homepage, http://privacyflag.eu/
[2]
Deliverable D2.1, Legal framework analysis report
[3]
Deliverable D2.2, Technical Risks Analysis Report
[4]
Deliverable D2.3, Privacy Risk Area Assessment Risk Methodology and in-depth Risk Analysis Modelling Report
[5]
Deliverable D4.1, First year report on Technical enablers development
[6]
Sauerwein, C., Gander, M., Felderer, M., Breu, R.: A Systematic Literature Review of Crowdsourcing-Based Research in Information Security. In: 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE). pp. 364--371 (2016).
[7]
Chia, P.H., Chuang, J.: Community-based web security: complementary roles of the serious and casual contributors. In: CSCW '12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. pp. 1023--1032. ACM, New York, NY (2012).
[8]
Surowiecki, J.: The Wisdom of Crowds. Anchor, New York (2005).

Cited By

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  • (2022)A systematic literature review on sensitive data protection in blockchain applicationsConcurrency and Computation: Practice and Experience10.1002/cpe.742235:1Online publication date: 28-Oct-2022
  • (2020)Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A SurveyIEEE Access10.1109/ACCESS.2020.30226618(167123-167163)Online publication date: 2020

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cover image ACM Other conferences
PCI '17: Proceedings of the 21st Pan-Hellenic Conference on Informatics
September 2017
322 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Greek Com Soc: Greek Computer Society
  • University of Thessaly: University of Thessaly, Volos, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2017

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Author Tags

  1. Privacy
  2. crowd-sourcing
  3. data protection

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  • Short-paper
  • Research
  • Refereed limited

Conference

PCI 2017
PCI 2017: 21st PAN-HELLENIC CONFERENCE ON INFORMATICS
September 28 - 30, 2017
Larissa, Greece

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Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

View all
  • (2022)A systematic literature review on sensitive data protection in blockchain applicationsConcurrency and Computation: Practice and Experience10.1002/cpe.742235:1Online publication date: 28-Oct-2022
  • (2020)Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A SurveyIEEE Access10.1109/ACCESS.2020.30226618(167123-167163)Online publication date: 2020

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