Speaker
Damien François
(UCLouvain/CISM)
Description
Data confidentiality is a critical aspect of scientific computing. Researchers working on HPC systems may handle unpublished results, personal data, industrial collaborations, or legally protected datasets. This session introduces the principles of secure data management on CÉCI clusters and presents the tools and best practices required to protect sensitive information while remaining compliant with institutional and legal requirements.
| Contents | Information |
|---|---|
| • Why data confidentiality matters in HPC • Understanding data classification and sensitivity levels • Risks associated with shared computing environments • Authentication, SSH keys, and access control mechanisms • Linux file permissions and access management • Managing project and shared data securely • Encrypting data at rest and in transit • Handling personal and sensitive research data • Secure data transfers and backups • Regulatory considerations (GDPR and research data policies) • Best practices and common security mistakes |
Prerequisite: • Being able to use SSH with private keys • Basic familiarity with Linux and file management Type: Lecture, Hands-on Target audience: Everyone Must: Strongly recommended for anyone handling unpublished, personal, confidential, or regulated data on HPC systems. |