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A novel parallel random number generator for wireless medical security applications

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2 Author(s)
Weiyang Liu ; State Key Lab. for Super lattices & Microstructures, Inst. of Semicond., Beijing, China ; Wu, Nanjian

A novel parallel random number generator (RNG) based on two dimensions feedback shift register (2-DFSR), genetic algorithm (GA) and cellular automaton (CA) algorithms is proposed for wireless medical security applications. The measurement results demonstrated that the RNG can successfully pass the NIST 800-22 statistical test suite. The highest bit rate is 16 Mbps. The typical power consumption is 61.81 μW. Its energy efficiency is 3.86 pJ/bit.

Published in:
Electron Devices and Solid-State Circuits (EDSSC), 2011 International Conference of

Date of Conference: 17-18 Nov. 2011

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