The Trusted Server: A secure computational environment for privacy compliant evaluations on plain personal data.

Area of Science:

• Computer Science
• Information Security
• Data Privacy

Background:

• Legal and ethical frameworks increasingly restrict personal data evaluation.
• Current privacy methods like pseudonymization and encryption have limitations due to human system administrator access.
• Existing distributed computing and data obfuscation techniques reduce but do not eliminate privacy risks and can increase complexity and degrade data quality.

Purpose of the Study:

• To propose a novel approach for secure and privacy-compliant data processing.
• To introduce a computational environment that eliminates risks associated with system administrators.
• To enable the evaluation of plain person-related data from multiple sources while maintaining mutual secrecy.

Main Methods:

• Introduction of the Trusted Server concept.
• Implementation of a cryptographically strict, sealed, and inaccessible computational environment.
• Ensuring data integrity and confidentiality during processing and storage.

Main Results:

• The Trusted Server provides an environment where data cannot be accessed, manipulated, or leaked, except through brute-force attacks.
• It allows for secure processing and evaluation of plain, person-related data.
• Facilitates privacy-compliant analysis even when data originates from multiple, mutually secretive sources.

Conclusions:

• The Trusted Server presents a robust alternative to existing privacy-enhancing technologies.
• It effectively addresses the security and privacy vulnerabilities posed by human system administrators.
• Enables secure and compliant analysis of sensitive personal data, fostering greater data utilization.