Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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