International Journal of Circuit Theory and Applications, 2018, 47(3): 365–378 A novel high speed artificial neural network-based chaotic true random number generator on field programmable gate array. 2018Īlcin M, Koyuncu I, Tuna M, Varan M, Pehlivan I. In: Proceedings of IEEE International Symposium on Smart Electronic Systems. Modified tent map based design for true random number generator.
In: Proceedings of the 16th IEEE International New Circuits and Systems Conference. Implementation of a chaotic true random number generator based on fuzzy modeling. In: Proceedings of IEEE Computer Society Annual Symposium on VLSI (ISVLSI). A highly flexible lightweight and high speed true random number generator on FPGA. Mei F, Zhang L, Gu C, Cao Y, Wang C, Liu W. Hardware optimized FPGA implementations of high-speed true random bit generators based on switching-type chaotic oscillators. International Journal of Circuit Theory and Applications, 2017, 45(11): 1885–1897īonny T, Debsi R A, Majzoub S, Elwakil A S. Chaotic cellular neural network-based true random number generator. IEEE Transactions on Circuits and Systems II: Express Briefs, 2017, 64(3): 329–333 An integrated dual entropy core true random number generator. White Paper, 1999, 27: 1–8Ĭicek I, Pusane A E, Dundar G. Romanian Journal of Information Science and Technology, 2012, 15(3): 277–298 Implementing true random number generators based on high fanout nets. Results indicate that the proposed generators are able to produce secure true random sequences at a high throughput, which in turn reflects on the effectiveness of the proposed post-processing method.Ĭret O, Gyorfi T, Suciu A. The generators are analyzed to identify statistical defects in addition to forward and backward security. To depict the feasibility of the proposed post-processing algorithm, it is applied in designing TRNGs based on digital audio.
Quantized bits of a physical entropy source are used to perturb the parameters of a hyperchaotic map, which is then iterated to produce a set of random output bits. The proposed method utilizes the inherent characteristics of chaos such as hypersensitivity to input changes, diffusion, and confusion capabilities to achieve these goals. In this paper, a new post-processing method based on hyperchaos is proposed for software-based TRNGs which not only eliminates statistical biases but also provides amplification in order to improve the performance of TRNGs. These generators usually require post-processing algorithms to eliminate biases but in turn, reduces performance. However, most TRNGs require specialized hardware to extract entropy from physical phenomena and tend to be slower than PRNGs. They produce unpredictable, non-repeatable random sequences. True random number generators (TRNG) are important counterparts to pseudorandom number generators (PRNG), especially for high security applications such as cryptography.