Name
Abstract | ||
|---|---|---|
Compliance with data retention laws and legislation is an important aspect of data management. As new laws governing personal data management are introduced (e.g., California Consumer Privacy Act enacted in 2020) and a greater emphasis is placed on enforcing data privacy law compliance, data retention support must be an inherent part of data management systems. However, relational databases do not currently offer functionality to enforce retention compliance. In this paper, we propose a framework that integrates data retention support into any relational database. Using SQL-based mechanisms, our system supports an intuitive definition of data retention policies. We demonstrate that our approach meets the legal requirements of retention and can be implemented to transparently guarantee compliance. Our framework streamlines compliance support without requiring database schema changes, while incurring an average 6.7% overhead compared to the current state-of-the-art solution. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-86472-9_21 | DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2021, PT I |
Keywords | DocType | Volume |
Retention compliance, Databases, Privacy | Conference | 12923 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nick Scope | 1 | 0 | 0.68 |
| Alexander Rasin | 2 | 2950 | 209.48 |
| James Wagner | 3 | 0 | 0.68 |
| Ben Lenard | 4 | 0 | 0.68 |
| Karen Heart | 5 | 3 | 1.47 |