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Pushing the Optimization Limits of Ring Oscillator-Based True Random Number Generators

机译:按下基于环形振荡器的真正随机数发生器的优化限制

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True Random Numbers are widely used in different security areas, like Public Key Cryptography, Symmetric Encryption Algorithms, security protocols (key exchange, nonce generator), etc., because of their defining unpredictability. True Random Number Generators (TRNG) are formally composed of three main components: a Noise Generator, which is based on a physical nondeterministic phenomenon (like cosmic radiations or the jitter of an oscillator), a Randomness Extractor and a Randomness Tester. Ring Oscillators (RO) are commonly chosen for this generators because of their simplicity in FPGA implementation. A RO consists of an odd number of inverters representing basically a clock signal of whose frequency depends mainly on the number of inverters. This paper describes a novel optimization technique (aiming the speed and resource consumption) for the implementation of TRNG based on Ring Oscillators and some good conclusive results.
机译:真正的随机数被广泛用于不同的安全区域,如公钥加密,对称加密算法,安全协议(关键交换,once发生器)等,因为它们定义了不可预测性。真正的随机数发生器(TRNG)由三个主要组件正式组成:噪声发生器,其基于物理非近定现象(如宇宙辐射或振荡器的抖动),随机性提取器和随机性测试仪。由于其简单在FPGA实现中,通常为该发电机选择环振荡器(RO)。一个RO由奇数逆变器组成,该逆变器基本上表示其频率主要取决于逆变器的数量。本文介绍了一种新颖的优化技术(针对基于环形振荡器的TRNG和一些良好的确凿结果的实现技术。

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