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Ant Colony-Inspired Parallel Algorithm to Improve Cryptographic Pseudo Random Number Generators

 
: Keller, Jörg; Spenger, Gabriele; Wendzel, Steffen

:

Gondree, M. ; Institute of Electrical and Electronics Engineers -IEEE-:
SPW 2017, IEEE Symposium on Security and Privacy Workshops. Proceedings : 25 May 2017, San Jose, California, USA
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-1968-1
ISBN: 978-1-5386-1969-8
ISBN: 978-1-5386-1967-4
pp.17-22
Security and Privacy Workshops (SPW) <2017, San Jose/Calif.>
Workshop on Bio-inspired Security, Trust, Assurance and Resilience (BioStar) <2, 2017, San Jose/Calif.>
English
Conference Paper
Fraunhofer FKIE ()

Abstract
We present a parallel algorithm to compute promising candidate states for modifying the state space of a pseudo-random number generator in order to increase its cycle length. This is important for generators in low-power devices where increase of state space is not an alternative. The runtime of the parallel algorithm is improved by an analogy to ant colony behavior: if two paths meet, the resulting path is followed at accelerated speed just as ants tend to reinforce paths that have been used by other ants. We evaluate our algorithm with simulations and demonstrate high parallel efficiency that makes the algorithm well-suited even for massively parallel systems like GPUs. Furthermore, the accelerated path variant of the algorithm achieves a runtime improvement of up to 4% over the straight-forward implementation.

: http://publica.fraunhofer.de/documents/N-541057.html