The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such a model is a necessary condition in the security certification process. The proposed model can be used to test, in real time, the proper behavior of the generator and thus to guarantee its robustness against cryptographic attacks. The model is validated on real data, which have been obtained using Altera Stratix Nios and Altera Stratix DSP Professional boards
Stochastic modeling and verification of a 0.35um CMOS chaos-based true random number generato
According to the renowned Kerckhoffs' principle, a cryptographic system should be secure even if the...
International audienceRandom number generators (RNGs) are computational or physical functions genera...
Abstract — The paper presents a simple stochastic model of a True Random Number Generator, which ext...
International audiencePhysical True Random Number Generator (P-TRNG) is a cryptographic primitive ba...
Random number generation is a critical issue in numerous cryptographic applications: it is used for ...
The objective of this paper is to provide insight on the design, evaluation and testing of modern Tr...
Research in the sphere of random number generators is a dynamically evolving segment. The sequences ...
International audienceSecurity in random number generation for cryptography is closely related to th...
Security in random number generation for cryptography is closely related to the entropy rate at the ...
Nowadays, digital equipment such as computers with Internet and cellular phones arecommonly used for...
Abstract—Security in true random number generation in cryptography is based on entropy per bit at th...
1 The issue of random number generation is becoming crucial for the implementation of cryptographic ...
Abstract Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulati...
International audienceRandom numbers are required in many applications such as cryptography, telecom...
Stochastic modeling and verification of a 0.35um CMOS chaos-based true random number generato
According to the renowned Kerckhoffs' principle, a cryptographic system should be secure even if the...
International audienceRandom number generators (RNGs) are computational or physical functions genera...
Abstract — The paper presents a simple stochastic model of a True Random Number Generator, which ext...
International audiencePhysical True Random Number Generator (P-TRNG) is a cryptographic primitive ba...
Random number generation is a critical issue in numerous cryptographic applications: it is used for ...
The objective of this paper is to provide insight on the design, evaluation and testing of modern Tr...
Research in the sphere of random number generators is a dynamically evolving segment. The sequences ...
International audienceSecurity in random number generation for cryptography is closely related to th...
Security in random number generation for cryptography is closely related to the entropy rate at the ...
Nowadays, digital equipment such as computers with Internet and cellular phones arecommonly used for...
Abstract—Security in true random number generation in cryptography is based on entropy per bit at th...
1 The issue of random number generation is becoming crucial for the implementation of cryptographic ...
Abstract Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulati...
International audienceRandom numbers are required in many applications such as cryptography, telecom...
Stochastic modeling and verification of a 0.35um CMOS chaos-based true random number generato
According to the renowned Kerckhoffs' principle, a cryptographic system should be secure even if the...
International audienceRandom number generators (RNGs) are computational or physical functions genera...