Method for quality evaluation of trit pseudorandom sequence to cryptographic applications

2015

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.20535/2411-1031.2015.3.2.60891
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Developments in quantum cryptography are carried by almost all major western telecommunication companies and research centers. Rapid development led to a significant expansion of the protocols range. From viewpoint of information capacity the most effective protocols for quantum cryptography system is trit systems. However, there is a problem of developing trit pseudorandom sequences generators and assessing their quality. This is because random and pseudo-random sequence generated by different generators for cryptographic applications must be tested by probabilistic and statistical methods. However, the vast majority of known techniques focused on testing generators pseudorandom binary sequences, so confirm pseudorandom generated trit sequences using them is almost impossible. Also there are not existed software and methods of such sequences assessment and arises the task of method developing for evaluation the quality of ternary pseudorandom sequences to evaluate the feasibility of using them for cryptographic applications. That method was developed in this paper and it is based on the approach used in NIST STS.Keywords: quantum cryptography, trit, qutrit, pseudorandom sequence, pseudorandom sequences generator, quality assessment.