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True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators

机译:基于环形振荡器的真随机数发生器中的真随机性和伪随机性

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The paper deals with true random number generators employing oscillatorrings, namely, with the one proposed by Sunar et al.in 2007 and enhanced by Wold and Tan in 2009. Our mathematical analysisshows that both architectures behave identically whencomposed of the same number of rings and ideal logic components. However, the reduction of the number of rings, as proposedby Wold and Tan, would inevitably cause the loss of entropy. Unfortunately, this entropy insufficiency is maskedby the pseudo-randomness caused by XOR-ing clock signals having differentfrequencies. Our simulation model shows that thegenerator, using more than 18 ideal jitter-free rings having slightlydifferent frequencies and producing only pseudo-randomness,will let the statistical tests pass. We conclude that a smallernumber of rings reduce the security if the entropy reduction isnot taken into account in post-processing. Moreover, the designer cannotavoid that some of rings will have the same frequency,which will cause another loss of entropy. In order to confirm this, weshow how the attacker can reach a state where over25% of the rings are locked and thus completely dependent. This effectcan have disastrous consequences on the system security.
机译:本文研究了采用振荡器的真正随机数发生器,即由Sunar等人在2007年提出并在2009年由Wold和Tan增强的一种。逻辑组件。但是,如沃尔德(Wold)和谭(Tan)提出的那样,环数的减少将不可避免地导致熵的损失。不幸的是,这种熵不足被具有不同频率的异或时钟信号所引起的伪随机性所掩盖。我们的仿真模型表明,发电机使用超过18个理想的无抖动环,它们的频率略有不同,并且仅产生伪随机性,这将使统计检验通过。我们得出的结论是,如果在后期处理中不考虑熵降低,则较少数量的环会降低安全性。而且,设计者无法避免某些环具有相同的频率,这将导致另一种熵损失。为了确认这一点,我们展示了攻击者如何达到超过25%的环被锁定并因此完全依赖的状态。这种影响可能会对系统安全性造成灾难性的后果。

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