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Statistical models of trust: TCBs vs. people

机译:信任的统计模型:TCB与人

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摘要

The processes of granting security clearances to people andnaccrediting trusted computer systems are compared, both informally andnusing preliminary mathematical models of risk probabilities. The risknmodels support the validity of two hypotheses that were previouslynmerely conjectures: (1) in determining an acceptable accreditation rangenfor a computer one need only consider the highest classification of datanon it and the least-cleared person using it, (2) that under suitablenconditions a cascade (combination) of two trusted systems can be trustednmore than either individually. In particular, it is shown that a cascadenof two (independently built) B2 systems is as good as one B3nsystem
机译:比较了非正式和使用风险概率的初步数学模型对人员授予安全许可和对可信计算机系统进行认证的过程。风险模型支持以前仅是猜测的两个假设的有效性:(1)在确定计算机的可接受认证范围时,只需要考虑数据的最高分类和使用它的最不懂数据的人,(2)在合适的条件下两个受信任系统的级联(组合)可以比每个受信任系统更受信任。特别是,显示出两个(独立构建的)B2系统的级联与一个B3n系统一样好

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