Group Properties of Cellular Automata and VLSI Applications
IEEE Transactions on Computers
Random sequence generation by cellular automata
Advances in Applied Mathematics
Parallel Random Number Generation for VLSI Systems Using Cellular Automata
IEEE Transactions on Computers
New Methods for Digital Generation and Postprocessing of Random Data
IEEE Transactions on Computers
A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks
IEEE Transactions on Computers
Secure IP downloading for SRAM FPGAs
Microprocessors & Microsystems
High-Speed True Random Number Generation with Logic Gates Only
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
A Design for a Physical RNG with Robust Entropy Estimators
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Fast Digital TRNG Based on Metastable Ring Oscillator
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Analysis and enhancement of random number generator in FPGA based on oscillator rings
International Journal of Reconfigurable Computing - Special issue on selected papers from ReConFig 2008
High speed true random number generator based on open loop structures in FPGAs
Microelectronics Journal
Improving the Robustness of Ring Oscillator TRNGs
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
WISA'10 Proceedings of the 11th international conference on Information security applications
A closer look at security in random number generators design
COSADE'12 Proceedings of the Third international conference on Constructive Side-Channel Analysis and Secure Design
Cellular automata-based parallel random number generators using FPGAs
International Journal of Reconfigurable Computing
Monte Carlo simulation of the Ising model on FPGA
Journal of Computational Physics
A very high speed true random number generator with entropy assessment
CHES'13 Proceedings of the 15th international conference on Cryptographic Hardware and Embedded Systems
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Some of the desirable properties a cryptographic random number generator should have are lack of bias, bit independence, unpredictiability and nonrepeatability. In this paper, we discuss how a hardware random number generator formed from simple components can provide these properties. The components include two state machines with different structures, and free-running oscillators. The generated numbers pass the DIEHARD battery of tests.