Design and implementation of chaos based true random number generator on FPGA

Koyuncu, İ̇smail; Özcerit, Ahmet Turan; Pehlivan, İ̇hsan; Avaroğlu, Erdinç

doi:10.1109/siu.2014.6830209

Cited by 16 publications

(11 citation statements)

References 11 publications

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“…In this respect, TRNG has a critical importance for cryptographic applications. In literature, there has been various studies that used the structures of flip‐flop, ring oscillator, and classic oscillator …”

Section: Basic Conceptsmentioning

confidence: 99%

“…Thus, the potential weakness is reduced with the digital correction. Also, the security of the TRNG increases with respect to post processing algorithm …”

Section: Basic Conceptsmentioning

confidence: 99%

“…In literature, there has been various studies that used the structures of flip-flop, ring oscillator, and classic oscillator. [54][55][56] The random number generators (RNGs) are divided into two parts, namely, TRNGs and pseudorandom number generators (PRNGs). 51 PRNGs have a structure that produces random numbers for only one period using a deterministic algorithm.…”

Section: True Random Number Generatormentioning

confidence: 99%

“…Also, the security of the TRNG increases with respect to post processing algorithm. 54,56 3 | CHAOS ANALYSES OF PUCS In this part, chaos analyses of PUCS including Lyapunov exponents, Lyapunov dimension analysis, and Lyapunov exponents spectrum have been presented. PUCS is a 3-D, continuous, and autonomous chaotic system.…”

Section: True Random Number Generatormentioning

confidence: 99%

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A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

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Koyuncu

Tuna

et al. 2018

Circuit Theory & Apps

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Summary It is well observed that cryptographic applications have great challenges in guaranteeing high security as well as high throughput. Artificial neural network (ANN)–based chaotic true random number generator (TRNG) structure has not been unprecedented in current literature. This paper provides a novel type of high‐speed TRNG based on chaos and ANN implemented in a Xilinx field‐programmable gate array (FPGA) chip. The paper consists of two main parts. In the first part, chaos analyses of Pehlivan‐Uyaroglu_2010 chaotic system (PUCS) have been accomplished to prove that PUCS operates in chaotic regime. So PUCS can be an efficient alternative to the entropy source for classical TRNGs. In the second part, the hardware design of the proposed TRNG has been created using VHDL in Xilinx platform. As a result, the implemented TRNG offers throughput up to 115.794 Mbps. Besides, the generated random numbers have been tested with the FIPS 140‐1 and NIST 800.22 test suites. The high quality of generated true random numbers have been confirmed by passing all randomness tests. The results have shown that the proposed system can provide not only high throughput but also high quality random bit sequences for a wide variety of embedded cryptographic applications.

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Section: Basic Conceptsmentioning

confidence: 99%

“…Thus, the potential weakness is reduced with the digital correction. Also, the security of the TRNG increases with respect to post processing algorithm …”

Section: Basic Conceptsmentioning

confidence: 99%

Section: True Random Number Generatormentioning

confidence: 99%

Section: True Random Number Generatormentioning

confidence: 99%

See 2 more Smart Citations

A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

Alçın

Koyuncu

Tuna

et al. 2018

Circuit Theory & Apps

Self Cite

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“…Literatürde entropi kaynağı olarak elektronik devrelerde termal ve shot gürültüsü [1], jitter ve metastability [2][3][4], Brownian Motion [5], atmosferik gürültü ve nükleer bozulma [6] kullanılmıştır. Bunların yanı sıra ses, video, EEG, ECG, Mouse hareketleri gibi insan kaynaklı gürültü kaynaklarından SRSÜ ve GRSÜ tabanlı üreteçler gerçekleştirilmiştir.…”

Section: Introductionunclassified

İnsan Hareketleri Tabanlı Gerçek Rasgele Sayı Üretimi

Tuncer

Genc²

2019

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Gerçek rasgele sayı üreteci (GRSÜ) ile rasgele sayı üretmek için deterministik olmayan bir gürültü kaynağından yararlanılır. Rasgelelik derecesinin daha yüksek olması nedeniyle GRSÜ, Sözde rasgele sayı üreticisinden daha güvenli sayı üretir. Bu makalede, insan hareketleri ile rasgele sayı üreten bir GRSÜ öneriyoruz. Önerilen GRSÜ, hemen hemen tüm insanların kullandığı mobil telefonlardaki ivme ve GPS sensörlerini kullanmaktadır. İlk olarak, mobil telefonu taşıyan kişinin 3-D ortamdaki hareketleri sonucunda ivme ve konum değişimleri android tabanlı bir mobil cihazdan örneklenerek elde edilmiştir. Daha sonra, elde edilen bu işaretler, normalizasyon işlemi uygulanarak ham sayı dizilerine dönüştürülmüştür. Son olarak, sayı dizilerinin istatistiksel özelliklerini iyileştirmek için XOR son işlemi uygulanmış ve rasgele sayı üretimi gerçekleştirilmiştir. Kişi yürürken, koşarken ve stabil konumda iken sensörlerden elde edilen toplamda 15 veri seti oluşturulmuştur. Sayıların istatistiksel özellikleri NIST test süiti, Skala İndeks ve otokorelasyon ile incelenmiştir. Önerilen GRSÜ, cep telefonu platformu için uygun, evrensel ve düşük maliyetli olup kişiye özgü rasgele sayı üretmektedir.

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A new Chua’s circuit with monolithic Chua’s diode and its use for efficient true random number generation in CMOS 180 nm

Moqadasi

Ghaznavi‐Ghoushchi

2015

Analog Integr Circ Sig Process

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Design and implementation of chaos based true random number generator on FPGA

Cited by 16 publications

References 11 publications

A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

İnsan Hareketleri Tabanlı Gerçek Rasgele Sayı Üretimi

A new Chua’s circuit with monolithic Chua’s diode and its use for efficient true random number generation in CMOS 180 nm

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