Mutual correlation of NIST statistical randomness tests and comparison of   their sensitivities on transformed sequences

ALİ DOĞANAKSOY; FATİH SULAK; MUHİDDİN UĞUZ; OKAN ŞEKER; ZİYA AKCENGİZ

Makale detayları

Mutual correlation of NIST statistical randomness tests and comparison of their sensitivities on transformed sequences

Yazarlar:

ALİ DOĞANAKSOY | FATİH SULAK | MUHİDDİN UĞUZ | OKAN ŞEKER | ZİYA AKCENGİZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.655-665

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740955

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Random sequences are widely used in many cryptographic applications and   hence their generation is one of the main research areas in cryptography.   Statistical randomness tests are introduced to detect the weaknesses or   nonrandom characteristics that a sequence under consideration may have. In   the literature, there exist various statistical randomness tests and test   suites, defined as a collection of tests. An efficient test suite should   consist of a number of uncorrelated statistical tests each of which measures   randomness from another point of view. `Being uncorrelated' is not a   well-defined or well-understood concept in the literature. In this work, we   apply Pearson's correlation test to measure the correlation between the   tests.    In addition, we define five new methods for transforming a sequence. Our   motivation is to detect those tests whose results are invariant under a   certain transformation. To observe the correlation, we use two methods. One   is the direct correlation between the tests and the other is the correlation   between the results of a test on the sequence and its transformed form. In   light of the observations, we conclude that some of the tests are correlated   with each other. Furthermore, we conclude that in designing a reliable and   efficient suite we can avoid overpopulating the list of test functions by   employing transformations together with a reasonable number of statistical   test functions.

Makale detayları

Mutual correlation of NIST statistical randomness tests and comparison of their sensitivities on transformed sequences

Yazarlar: ALİ DOĞANAKSOY | FATİH SULAK | MUHİDDİN UĞUZ | OKAN ŞEKER | ZİYA AKCENGİZ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.655-665

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000740955

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

ALİ DOĞANAKSOY | FATİH SULAK | MUHİDDİN UĞUZ | OKAN ŞEKER | ZİYA AKCENGİZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.655-665

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740955

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632