PCG-Generated Randomness: A NIST Analysis of 100-Million Bits

Zülfiye Beyza Metin; Fatih Özkaynak

Makale detayları

PCG-Generated Randomness: A NIST Analysis of 100-Million Bits

Yazarlar:

Zülfiye Beyza Metin | Fatih Özkaynak

Yayıncı:

Fırat University

Ana Başlıklar:

Information Security and Cryptology

Dergi:

Turkish Journal of Science and Technology Vol.20 Issue 1, pp.55-61

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001341482

pISSN:

1308-9080

Anahtar kelimeler:

Özet:

 The generation of random numbers is crucial for various applications, including cryptography, simulation, sampling, and statistical analysis. Cryptography utilizes random numbers to secure communication through the generation of encryption keys, thereby safeguarding sensitive information from unauthorized access. This study aims to evaluate the randomness and suitability of the Permuted Congruential Generator PCG algorithm for cryptography applications, through testing its generated random numbers using the National Institute of Standards and Technology NIST statistical tests. A novel method is proposed for generating 100 million bits using the PCG algorithm. The generated random numbers are then subjected to NIST testing. The results indicate that the PCG-generated random numbers pass most relevant statistical tests and comply with the standards of randomness necessary for cryptography. In conclusion, the PCG algorithm is demonstrated to be a robust, dependable, and appropriate random number generator for cryptography and other applications requiring random numbers.

 The generation of random numbers is crucial for various applications, including cryptography, simulation, sampling, and statistical analysis. Cryptography utilizes random numbers to secure communication through the generation of encryption keys, thereby safeguarding sensitive information from unauthorized access. This study aims to evaluate the randomness and suitability of the Permuted Congruential Generator PCG algorithm for cryptography applications, through testing its generated random numbers using the National Institute of Standards and Technology NIST statistical tests. A novel method is proposed for generating 100 million bits using the PCG algorithm. The generated random numbers are then subjected to NIST testing. The results indicate that the PCG-generated random numbers pass most relevant statistical tests and comply with the standards of randomness necessary for cryptography. In conclusion, the PCG algorithm is demonstrated to be a robust, dependable, and appropriate random number generator for cryptography and other applications requiring random numbers.

 The generation of random numbers is crucial for various applications, including cryptography, simulation, sampling, and statistical analysis. Cryptography utilizes random numbers to secure communication through the generation of encryption keys, thereby safeguarding sensitive information from unauthorized access. This study aims to evaluate the randomness and suitability of the Permuted Congruential Generator PCG algorithm for cryptography applications, through testing its generated random numbers using the National Institute of Standards and Technology NIST statistical tests. A novel method is proposed for generating 100 million bits using the PCG algorithm. The generated random numbers are then subjected to NIST testing. The results indicate that the PCG-generated random numbers pass most relevant statistical tests and comply with the standards of randomness necessary for cryptography. In conclusion, the PCG algorithm is demonstrated to be a robust, dependable, and appropriate random number generator for cryptography and other applications requiring random numbers.

 Rastgele sayıların üretilmesi kriptografi, simülasyon, örnekleme ve istatistiksel analiz gibi çeşitli uygulamalar için çok önemlidir. Kriptografi, şifreleme anahtarlarının oluşturulması yoluyla iletişimi güvence altına almak için rastgele sayıları kullanır ve böylece hassas bilgileri yetkisiz erişime karşı korur. Bu çalışma, Permuted Congruential Generator PCG algoritmasının kriptografi uygulamaları için rastgeleliğini ve uygunluğunu, üretilen rastgele sayıları Ulusal Standartlar ve Teknoloji Enstitüsü NIST istatistiksel testlerini kullanarak test ederek değerlendirmeyi amaçlamaktadır. PCG algoritmasını kullanarak 100 milyon bit üretmek için yeni bir yöntem önerilmiştir. Üretilen rastgele sayılar daha sonra NIST testine tabi tutulmuştur. Sonuçlar, PCG tarafından üretilen rastgele sayıların ilgili istatistiksel testlerin çoğunu geçtiğini ve kriptografi için gerekli rastgelelik standartlarına uygun olduğunu göstermektedir. Sonuç olarak, PCG algoritmasının kriptografi ve rastgele sayı gerektiren diğer uygulamalar için sağlam, güvenilir ve uygun bir rastgele sayı üreteci olduğu gösterilmiştir.

Makale detayları

PCG-Generated Randomness: A NIST Analysis of 100-Million Bits

Yazarlar:

Zülfiye Beyza Metin | Fatih Özkaynak

Yayıncı:

Fırat University

Ana Başlıklar:

Information Security and Cryptology

Dergi:

Turkish Journal of Science and Technology Vol.20 Issue 1, pp.55-61

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001341482

pISSN:

1308-9080

Randomness

PCG

NIST

SecurityRastgelelik

PCG

NIST

Güvenlik

Sayı

Makale detayları

Yazarlar: Zülfiye Beyza Metin | Fatih Özkaynak

Yayıncı: Fırat University

Ana Başlıklar: Information Security and Cryptology

Dergi: Turkish Journal of Science and Technology Vol.20 Issue 1, pp.55-61

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001341482

pISSN: 1308-9080

Sayı

Yazarlar:

Zülfiye Beyza Metin | Fatih Özkaynak

Yayıncı:

Fırat University

Ana Başlıklar:

Information Security and Cryptology

Dergi:

Turkish Journal of Science and Technology Vol.20 Issue 1, pp.55-61

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001341482

pISSN:

1308-9080