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

机译:可信服务器:一个安全的计算环境,用于对纯个人数据进行符合隐私的评估

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摘要

A growing framework of legal and ethical requirements limit scientific and commercial evaluation of personal data. Typically, pseudonymization, encryption, or methods of distributed computing try to protect individual privacy. However, computational infrastructures still depend on human system administrators. This introduces severe security risks and has strong impact on privacy: system administrators have unlimited access to the computers that they manage including encryption keys and pseudonymization-tables. Distributed computing and data obfuscation technologies reduce but do not eliminate the risk of privacy leakage by administrators. They produce higher implementation effort and possible data quality degradation. This paper proposes the Trusted Server as an alternative approach that provides a sealed and inaccessible computational environment in a cryptographically strict sense. During operation or by direct physical access to storage media, data stored and processed inside the Trusted Server can by no means be read, manipulated or leaked, other than by brute-force. Thus, secure and privacy-compliant data processing or evaluation of plain person-related data becomes possible even from multiple sources, which want their data kept mutually secret.
机译:越来越多的法律和道德要求框架限制了对个人数据的科学和商业评估。通常,假名,加密或分布式计算方法试图保护个人隐私。但是,计算基础结构仍然依赖于人类系统管理员。这带来了严重的安全风险,并严重影响了隐私:系统管理员可以不受限制地访问他们管理的计算机,包括加密密钥和假名表。分布式计算和数据混淆技术可以减少但不能消除管理员泄露隐私的风险。它们会产生更高的实施工作量,并可能降低数据质量。本文提出了Trusted Server作为一种替代方法,该方法在密码学上严格意义上提供了一种密封且不可访问的计算环境。在运行过程中或通过直接物理方式访问存储介质,除非通过蛮力手段,否则任何方式都无法读取,操纵或泄漏Trusted Server内部存储和处理的数据。因此,即使来自多个希望使他们的数据保持机密的来源,也可以进行安全且符合隐私的数据处理或与普通人相关的数据评估。

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