When software-based data securing methods are no longer sufficient because they are easily attacked, hardware security systems become critical. Because of the explosive growth in the number of IoT objects (estimated to be 50 billion by 2020 2) and overwhelming reliance on cyberspace, the existing hardware infrastructure is increasingly vulnerable to a wide range of security threats 3. The internet of things (IoT) is a network of devices, sensors, and other items of various functionalities that interact and exchange data electronically 1. This work paves the way for memristors in hardware security applications for the era of the Internet of Things. Based on nanoparticle dynamic simulation and analytical estimates, we attribute the stochasticity in delay time to the probabilistic process by which Ag particles detach from a Ag reservoir. The random bits generated by the diffusive memristor true random number generator pass all 15 NIST randomness tests without any post-processing, a first for memristive-switching true random number generators. Here we propose and demonstrate a novel true random number generator utilizing the stochastic delay time of threshold switching in a Ag:SiO 2 diffusive memristor, which exhibits evident advantages in scalability, circuit complexity, and power consumption. On the other hand, this natural stochasticity can be valuable for hardware security applications. The intrinsic variability of switching behavior in memristors has been a major obstacle to their adoption as the next generation of universal memory.
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