(Mersin Üniversitesi)
(Fırat Üniversitesi)
Yıl: 2020Cilt: 28Sayı: 1ISSN: 1300-0632 / 1300-0632Sayfa Aralığı: 288 - 301İngilizce

85 0
A novel S-box-based postprocessing method for true random number generation
: The quality of randomness in numbers generated by true random number generators (TRNGs) dependson the source of entropy. However, in TRNGs, sources of entropy are affected by environmental changes and thiscreates a correlation between the generated bit sequences. Postprocessing is required to remove the problem created bythis correlation in TRNGs. In this study, an S-box-based postprocessing structure is proposed as an alternative to thepostprocessing structures seen in the published literature. A ring oscillator (RO)-based TRNG is used to demonstrate theuse of an S-box for postprocessing and the removal of correlations between number sequences. The statistical propertiesof the numbers generated through postprocessing are obtained according to the entropy, autocorrelation, statisticalcomplexity measure, and the NIST 800.22 test suite. According to the results, the postprocessing successfully removedthe correlation. Moreover, the data rate of the bit sequence generated by the proposed postprocessing is reduced to 2/3of its original value at the output.
Fen > Mühendislik > Bilgisayar Bilimleri, Yapay Zeka
Fen > Mühendislik > Bilgisayar Bilimleri, Sibernitik
Fen > Mühendislik > Bilgisayar Bilimleri, Donanım ve Mimari
Fen > Mühendislik > Bilgisayar Bilimleri, Bilgi Sistemleri
Fen > Mühendislik > Bilgisayar Bilimleri, Yazılım Mühendisliği
Fen > Mühendislik > Bilgisayar Bilimleri, Teori ve Metotlar
Fen > Mühendislik > Mühendislik, Elektrik ve Elektronik
DergiAraştırma MakalesiErişime Açık
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