Randomness Evaluation For Random Number Generator Based On Chaotic Laser

Random numbers have a wide and important application value and scientific significance in many fields.Especially in the field of information security,the randomness of random numbers is an important basis for securing information.As a source of high-speed true random number generation,random number generators using chaotic lasers as a physical entropy source have received extensive attention and research.Since whether random numbers meet security requirements depends on the randomness that can be output from the random number generator,randomness evaluation of chaotic laser random number generators is urgently needed.Currently,there are obvious shortcomings in the work on randomness assessment for random number generators.In cryptography,the means of security-guaranteed evaluation are divided into two types: a posteriori and a priori.The traditional assessment method is a posteriori,which only statistically tests the randomness of the random numbers it generates partially,and cannot quantitatively analyze the content of true randomness in the output random sequence,and is not an effective means of randomness assessment.And due to the lack of entropy source random model,the a priori assessment method has not been used so far in the randomness assessment work of chaotic laser random number generator.To address the above issues,this paper proposes and uses a safe and effective randomness evaluation method for chaotic laser random number generator to perform randomness evaluation work,mainly as follows:1.The detection noise during the generation of random numbers by the chaotic laser entropy source is treated as a third-party controllable fraction by using an a posteriori evaluation method.The entropy content of the original random numbers is evaluated by conditional minimum entropy considering the effect caused by this fraction on the output randomness.In addition,the evaluated randomness content is used to construct an information-theoretic provably secure Toeplitz strong extractor to post-process the original random numbers and achieve an information-theoretic provably secure random number generation.2.A stochastic model is developed for safety assessment by using an a priori assessment method that models and analyzes the source of randomness from the chaotic laser entropy source itself.In addition,the correctness of this stochastic model is verified using a combination of simulation plus experiments.Finally,the lower bound of the randomness content in this stochastic model is obtained by the minimum entropy evaluation.The results show that a safe random number generation rate of 19.954 Gbit/s can be achieved at a sampling rate of 5 GSa/s.