Pseudorandom generator based on clipped Hopfield neural network

Chi Kwong Chan; L. M. Cheng

doi:10.1109/ISCAS.1998.703946

Pseudorandom generator based on clipped Hopfield neural network

Chi Kwong Chan, L. M. Cheng

City University of Hong Kong

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

10 Citations (Scopus)

Abstract

We present a new construction of a pseudorandom generator based on a single linear feedback shift register and a clipped version of Hopfield neural network. The clipped Hopfield neural network (CHNN) acts as a nonlinear filter function, which destroys the linearity and algebraic structure of the LFSR. The resulting sequences have long period and large linear complexity. The construction is suitable for practical implementation of efficient stream cipher cryptosystems.

Original language	English
Pages (from-to)	183-186
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
DOIs	https://doi.org/10.1109/ISCAS.1998.703946
Publication status	Published - 1998
Event	Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6) - Monterey, CA, USA Duration: 31 May 1998 → 3 Jun 1998

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abstract = "We present a new construction of a pseudorandom generator based on a single linear feedback shift register and a clipped version of Hopfield neural network. The clipped Hopfield neural network (CHNN) acts as a nonlinear filter function, which destroys the linearity and algebraic structure of the LFSR. The resulting sequences have long period and large linear complexity. The construction is suitable for practical implementation of efficient stream cipher cryptosystems.",

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AU - Cheng, L. M.

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AB - We present a new construction of a pseudorandom generator based on a single linear feedback shift register and a clipped version of Hopfield neural network. The clipped Hopfield neural network (CHNN) acts as a nonlinear filter function, which destroys the linearity and algebraic structure of the LFSR. The resulting sequences have long period and large linear complexity. The construction is suitable for practical implementation of efficient stream cipher cryptosystems.

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M3 - RGC 22 - Publication in policy or professional journal

SN - 0271-4310

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JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6)

Y2 - 31 May 1998 through 3 June 1998

ER -

Pseudorandom generator based on clipped Hopfield neural network

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