Abstract — 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. I
Pseudorandom number generators are algorithmic and thus, predict-able. Ideally cryptography, simulat...
Les nombres aléatoires sont indispensables dans de nombreuses applications notamment en cryptographi...
International audienceRandom number generators (RNGs) are computational or physical functions genera...
The paper presents a simple stochastic model of a True Random Number Generator, which extracts rando...
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...
International audienceSecurity in random number generation for cryptography is closely related to th...
Research in the sphere of random number generators is a dynamically evolving segment. The sequences ...
Abstract—Security in true random number generation in cryptography is based on entropy per bit at 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...
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...
According to the renowned Kerckhoffs' principle, a cryptographic system should be secure even if the...
Pseudorandom number generators are algorithmic and thus, predict-able. Ideally cryptography, simulat...
Les nombres aléatoires sont indispensables dans de nombreuses applications notamment en cryptographi...
International audienceRandom number generators (RNGs) are computational or physical functions genera...
The paper presents a simple stochastic model of a True Random Number Generator, which extracts rando...
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...
International audienceSecurity in random number generation for cryptography is closely related to th...
Research in the sphere of random number generators is a dynamically evolving segment. The sequences ...
Abstract—Security in true random number generation in cryptography is based on entropy per bit at 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...
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...
According to the renowned Kerckhoffs' principle, a cryptographic system should be secure even if the...
Pseudorandom number generators are algorithmic and thus, predict-able. Ideally cryptography, simulat...
Les nombres aléatoires sont indispensables dans de nombreuses applications notamment en cryptographi...
International audienceRandom number generators (RNGs) are computational or physical functions genera...