Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Mrazek:2019:ieeeVLSI,
-
author = "Vojtech Mrazek and Lukas Sekanina and Roland Dobai and
Marek Sys and Petr Svenda",
-
title = "Efficient On-Chip Randomness Testing Utilizing Machine
Learning Techniques",
-
journal = "IEEE Transactions on Very Large Scale Integration
(VLSI) Systems",
-
year = "2019",
-
volume = "27",
-
number = "12",
-
pages = "2734--2744",
-
month = dec,
-
keywords = "genetic algorithms, genetic programming, evolvable
hardware, Evolutionary computation, field-programmable
gate arrays (FPGAs), random sequences",
-
ISSN = "1557-9999",
-
DOI = "doi:10.1109/TVLSI.2019.2923848",
-
size = "11 pages",
-
abstract = "Randomness testing is an important procedure that bit
streams, produced by critical cryptographic primitives
such as encryption functions and hash functions, have
to undergo. In this paper, a new hardware platform for
the randomness testing is proposed. The platform
exploits the principles of genetic programming, which
is a machine learning technique developed for the
automated program and circuit design. The platform is
capable of evolving efficient randomness distinguishers
directly on a chip. Each distinguisher is represented
as a Boolean polynomial in the algebraic normal form.
The randomness testing is conducted for bit streams
that are either stored in an on-chip memory or
generated by a circuit placed on the chip. The platform
is developed with a Xilinx Zynq-7000 All Programmable
System on Chip that integrates a field programmable
gate array with on-chip ARM processors. The platform is
evaluated in terms of the quality of randomness
testing, performance, and resources. With power budget
less than 3 Watts, the platform provides comparable
randomness testing capabilities with the standard
testing batteries running on a personal computer.",
-
notes = "also known as \cite{8759080}",
- }
Genetic Programming entries for
Vojtech Mrazek
Lukas Sekanina
Roland Dobai
Marek Sys
Petr Svenda
Citations