CYCRMar 8, 2019

The Seven Sins of Personal-Data Processing Systems under GDPR

arXiv:1903.09305v223 citations
Originality Synthesis-oriented
AI Analysis

This work highlights critical system design challenges for data processors under GDPR, addressing privacy and security issues in a regulatory context.

The paper identifies seven key conflicts between GDPR regulations and the design of modern data processing systems, revealing a deep-rooted tussle that requires comprehensive solutions for compliance.

In recent years, our society is being plagued by unprecedented levels of privacy and security breaches. To rein in this trend, the European Union, in 2018, introduced a comprehensive legislation called the General Data Protection Regulation (GDPR). In this paper, we review GDPR from a system design perspective, and identify how its regulations conflict with the design, architecture, and operation of modern systems. We illustrate these conflicts via the seven GDPR sins: storing data forever; reusing data indiscriminately; walled gardens and black markets; risk-agnostic data processing; hiding data breaches; making unexplainable decisions; treating security as a secondary goal. Our findings reveal a deep-rooted tussle between GDPR requirements and how modern systems have evolved. We believe that achieving compliance requires comprehensive, grounds up solutions, and anything short would amount to fixing a leaky faucet in a sinking ship.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes