Fully Digital Random Bit Generators for Cryptographic Applications
Marco Bucci, R. Luzzi
Abstract
Marco Bucci, R. Luzzi
Abstract
This paper is devoted to the analysis, implementation, and modeling of fully digital random bit generators based on recent research results on the design ofstatelessoscillator-based generators. A new approach to the data quality test is adopted where, instead of passing bunches of statistical tests on the raw data, the focus is on the verification of a minimum entropy limit for the delivered random numbers after the digital post-processing. The architecture of the proposed generator (noise source and post-processing algorithm) is described in detail and experimental results in a 90-nm CMOS process are reported. The fabricated device reaches a throughput of 1.74 Mb/s after post-processing with an area of 13000 mum2and a power consumption of about 240 muW when running at its maximum speed. A statistical model for the noise source is provided and the entropy of the post-processed data has been evaluated obtaining an entropy per byte higher than 7.999.
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This paper is devoted to the analysis, implementation, and modeling of fully digital random bit generators based on recent research results on the design ofstatelessoscillator-based generators. A new approach to the data quality test is adopted where, instead of passing bunches of statistical tests on the raw data, the focus is on the verification of a minimum entropy limit for the delivered random numbers after the digital post-processing. The architecture of the proposed generator (noise source and post-processing algorithm) is described in detail and experimental results in a 90-nm CMOS process are reported. The fabricated device reaches a throughput of 1.74 Mb/s after post-processing with an area of 13000 mum2and a power consumption of about 240 muW when running at its maximum speed. A statistical model for the noise source is provided and the entropy of the post-processed data has been evaluated obtaining an entropy per byte higher than 7.999.
Key concepts: Random number generation, Computer science, Byte, Cryptography, Entropy (arrow of time), Algorithm, Data processing, Computer engineering