DocumentCode :
3490738
Title :
A 2.92μW Hardware Random Number Generator
Author :
Holleman, Jeremy ; Otis, Brian ; Bridges, Seth ; Mitros, Ania ; Diorio, Chris
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA
fYear :
2006
fDate :
19-21 Sept. 2006
Firstpage :
134
Lastpage :
137
Abstract :
This paper presents two novel hardware random number generators (RNGs) based on latch metastability. We designed the first, the DC-nulling RNG, for extremely low power operation. The second, the FIR-based RNG, uses a predictive whitening filter to remove non-random components from the generated bit sequence. In both designs, the use of floating-gate memory cells allows us to predict and compensate for DC offsets and other non-random influences while minimizing power consumption. We also present a simple post-processing technique for improving randomness. We fabricated both RNGs in a standard 2P4M 0.35 μm CMOS process. The DC-nulling RNG utilized .031 mm2 of die area, while the FIR-based RNG occupied 1.49 mm2.
Keywords :
CMOS integrated circuits; FIR filters; random number generation; 0.35 micron; 2.92 muW; CMOS process; DC-nulling RNG; FIR-based RNG; floating-gate memory cells; hardware random number generator; latch metastability; nonrandom components; post-processing technique; predictive whitening filter; Analog memory; Circuit noise; Clocks; Filters; Hardware; Latches; Metastasis; Nonvolatile memory; Random number generation; Tunneling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference, 2006. ESSCIRC 2006. Proceedings of the 32nd European
Conference_Location :
Montreux
ISSN :
1930-8833
Print_ISBN :
1-4244-0303-0
Type :
conf
DOI :
10.1109/ESSCIR.2006.307549
Filename :
4099722
Link To Document :
بازگشت