A Model-based Approach to Realize Privacy and Data Protection by Design

被引:5
|
作者
Pedroza, Gabriel [1 ]
Muntes-Mulero, Victor [2 ]
Samuel Martin, Yod [3 ]
Mockly, Guillaume [4 ]
机构
[1] Univ Paris Saclay, CEA, List, F-91120 Palaiseau, France
[2] Beawre Digital SL, Barcelona, Spain
[3] Univ Politecn Madrid, Madrid, Spain
[4] Trialog, Paris, France
基金
欧盟地平线“2020”;
关键词
Privacy by design; GDPR; data protection; model-based; personal data detection; DFD; MDE; MBSE;
D O I
10.1109/EuroSPW54576.2021.00042
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Telecommunications and data are pervasive in almost each aspect of our every-day life and new concerns progressively arise as a result of stakes related to privacy and data protection [1]. Indeed, systems development becomes data-centric leading to an ecosystem where a variety of players intervene (citizens, industry, regulators) and where the policies regarding data usage and utilization are far from consensual. The new General Data Protection Regulation (GDPR) enacted by the European Commission in 2018 has introduced new provisions including principles for lawfulness, fairness, transparency, etc. thus endorsing data subjects with new rights in regards to their personal data. In this context, a growing need for approaches that conceptualize and help engineers to integrate GDPR and privacy provisions at design time becomes paramount. This paper presents a comprehensive approach to support different phases of the design process with special attention to the integration of privacy and data protection principles. Among others, it is a generic model-based approach that can be specialized according to the specifics of different application domains.
引用
收藏
页码:332 / 339
页数:8
相关论文
共 50 条
  • [1] Swarm Model-based Computing Network for Economic Big Data Privacy Protection
    Chen, Limin
    International Journal of Network Security, 2023, 25 (04) : 697 - 705
  • [2] A model-based approach to support privacy compliance
    Alshammari, Majed
    Simpson, Andrew
    INFORMATION AND COMPUTER SECURITY, 2018, 26 (04) : 437 - 453
  • [3] On a model-based approach to radiation protection
    Waligórski, MPR
    RADIATION PROTECTION DOSIMETRY, 2002, 99 (1-4) : 439 - 444
  • [4] Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach
    Cerf, Sophie
    Bouchenak, Sara
    Robu, Bogdan
    Marchand, Nicolas
    Primault, Vincent
    Ben Mokhtar, Sonia
    Boutet, Antoine
    Chen, Lydia Y.
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2021, 18 (01) : 269 - 282
  • [5] Learning Model-Based Privacy Protection under Budget Constraints
    Hong, Junyuan
    Wang, Haotao
    Wang, Zhangyang
    Zhou, Jiayu
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 7702 - 7710
  • [6] SCKPISec: A KPI-Guided Model-Based Approach to Realize Security by Design for Smart City Systems
    Ye, Tong
    Zhuang, Yi
    Qiao, Gongzhe
    SUSTAINABILITY, 2023, 15 (03)
  • [7] Multi-data Aggregation Scheme Based on Multiple Subsets to Realize User Privacy Protection
    Yang, Xuhui
    Zhang, Shaomin
    Wang, Baoyi
    PROCEEDINGS OF 2018 12TH IEEE INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION (ASID), 2018, : 61 - 65
  • [8] Model-Based approach IDS design
    Monzer, Mohamad Houssein
    Beydoun, Kamal
    Flaus, Jean-Marie
    2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019, : 477 - 482
  • [9] DEFeND DSM: A Data Scope Management Service for Model-Based Privacy by Design GDPR Compliance
    Piras, Luca
    Al-Obeidallah, Mohammed Ghazi
    Pavlidis, Michalis
    Mouratidis, Haralambos
    Tsohou, Aggeliki
    Magkos, Emmanouil
    Praitano, Andrea
    Iodice, Annarita
    Gallego-Nicasio Crespo, Beatriz
    TRUST, PRIVACY AND SECURITY IN DIGITAL BUSINESS, TRUSTBUS 2020, 2020, 12395 : 186 - 201
  • [10] A Singular Approach to Address Privacy Issues by the Data Protection and Privacy Relationships Model (DAPPREMO)
    Fabiano, Nicola
    PRIVACY TECHNOLOGIES AND POLICY, APF 2023, 2024, 13888 : 166 - 181