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A growing framework of legal and ethical requirements limit scientific andcommercial evalua-tion of personal data. Typically, pseudonymization,encryption, or methods of distributed com-puting try to protect individualprivacy. However, computational infrastructures still depend on human systemadministrators. This introduces severe security risks and has strong impact onprivacy: system administrators have unlimited access to the computers that theymanage in-cluding encryption keys and pseudonymization-tables. Distributedcomputing and data obfuscation technologies reduce but do not eliminate therisk of privacy leakage by administrators. They produce higher implementationeffort and possible data quality degradation. This paper proposes the TrustedServer as an alternative approach that provides a sealed and inaccessiblecomputational environment in a cryptographically strict sense. During operationor by direct physical access to storage media, data stored and processed insidethe Trusted Server can by no means be read, manipulated or leaked, other thanby brute-force. Thus, secure and privacy-compliant data processing orevaluation of plain person-related data becomes possible even from multiplesources, which want their data kept mutually secret.

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