Handbook of Applied Cryptography
Handbook of Applied Cryptography
Efficient Online Tests for True Random Number Generators
CHES '01 Proceedings of the Third International Workshop on Cryptographic Hardware and Embedded Systems
A Design of Reliable True Random Number Generator for Cryptographic Applications
CHES '99 Proceedings of the First International Workshop on Cryptographic Hardware and Embedded Systems
IEEE Transactions on Computers
A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks
IEEE Transactions on Computers
Fast S-box security mechanism research based on the polymorphic cipher
Information Sciences: an International Journal
High-Speed True Random Number Generation with Logic Gates Only
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
A Design for a Physical RNG with Robust Entropy Estimators
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Fast Digital TRNG Based on Metastable Ring Oscillator
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Analysis and enhancement of random number generator in FPGA based on oscillator rings
International Journal of Reconfigurable Computing - Special issue on selected papers from ReConFig 2008
A closer look at security in random number generators design
COSADE'12 Proceedings of the Third international conference on Constructive Side-Channel Analysis and Secure Design
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In this paper, the evaluation of random bit generators for security applications is discussed and the concept of stateless generator is introduced. It is shown how, for the proposed class of generators, the verification of a minimum entropy limit can be performed directly on the post-processed random numbers thus not requiring a good statistic quality for the noise source itself, provided that a sufficient compression is adopted in the post-processing unit. Assuming that the noise source is stateless, a straightforward entropy estimator to drive an adaptive compression algorithm is proposed. Examples of stateless sources are also discussed. Finally, an attack scenario against a noise source is defined and an effective approach to the attack detection is presented. The entropy estimator and the attack detection together guarantee the unpredictability of the generated random numbers.