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Efficient hardware implementation of a new pseudo-random bit sequence generator

Authors: Raj S. Katti; Sudarshan K. Srinivasan;

Efficient hardware implementation of a new pseudo-random bit sequence generator

Abstract

In this paper we propose a new linear congruential generator (LCG) based pseudo random bit-sequence generator (PRBG) and its hardware implementation. Linear congruential generators (LCGs) of the form x i+1 = ax i + b(mod m), have been used to generate pseudorandom numbers. However these generators have been known to be insecure. The proposed PRBG couples four such LCGs and is secure. A preliminary proof of security is outlined in this paper. The PRBG generates bit-sequences that pass all NIST pseudo randomness tests. Our PRBG has a very efficient hardware implementation because the modulo operation is with respect to 2n as opposed to p × q in the Blum-Blum-Shub (BBS) generator, where p and q are large prime numbers. We also show that the hardware implementation can be easily pipelined, thereby increasing the throughput in spite of the hardware having large word-length inputs (n ≥ 128). A 4-stage pipelined hardware was implemented in VHDL for n = 128 and the synthesized hardware was simulated. Simulation results showed a 2.81 fold increase in throughput (number of pseudo-random bits output per unit time) compared to the non-pipelined version.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Average
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