⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一种全合成设计的真随机数发生器(TRNG),利用物理随机性作为熵源,在28nm和65nm CMOS工艺中实现。通过异步时钟采样和RC滤波技术,实现了23Mb/s的高吞吐率和23pJ/b的低能耗,解决了传统TRNG设计复杂、功耗高的问题。
David Blaauw, Dennis Sylvester locking the oscillation and impacting collapse event time. To measure noise amplitude on-chip, an asynchronous clock samples the supply voltage, compares it with an external reference voltage, and increments a counter accordingly. With sufficient samples (214 here) the noise amplitude can be determined from the counter value. In addition, an RC filter with a 210MHz corner frequency was designed to mitigate the impact of supply noise (Fig. 16.3.3). University of Michigan, Ann Arbor, MI True random number generators (TRNGs) use physical randomness as entropy sources and are heavily used in cryptography and security [1]. Although hardware TRNGs provide excellent randomness, power consumption and design complexity are often high. Previous work has demonstrated TRNGs based on a resistor-amplifier-ADC chain [2], oscillator jitter [1], metastability [3-5] and other device noise [6-7]. However, analog designs suffer from variation and
Kaiyuan Yang, David Fick, Michael B. Henry, Yoonmyung Lee,