Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement Learning
This research explores optimization strategies for the deployment of SQL and homomorphic encryption using reinforcement learning. Marginal gains are established and suggests greater inquiry into optimization techniques as a means of introducing more secure compute to production environments.
Authors
- Ryan Marinelli
- Åvald Åslaugson Sommervoll (ORCID: https://orcid.org/0000-0001-5232-5630)
- László Erdődi (ORCID: https://orcid.org/0000-0002-4910-4228)
Institutions
- University of Oslo (NO)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825773
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00