TY - JOUR
T1 - Design and Synchronization of Chaos-Based True Random Number Generators and Its FPGA Implementation
AU - Liao, T. L.
AU - Wan, P. Y.
AU - Yan, Jun Juh
N1 - Publisher Copyright:
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
PY - 2022
Y1 - 2022
N2 - In this paper, a new chaos-based true random number generator (TRNG) and a sliding mode controller (SMC) to synchronize the proposed TRNGs are proposed. Firstly, the continuous chaotic system is transformed into a discrete system that preserves the original continuous system's chaotic behavior and makes it easy to realize with the field-programmable gate array (FPGA) for synchronization control. Then, a discrete SMC is introduced to solve the synchronization problem of the master-slave discrete chaotic systems. Subsequently, a novel hybrid function integrated with the El-Gamal algorithm is proposed to complete the TRNG design. Finally, the FPGA-based realization of the synchronized master-slave TRNGs is implemented. The randomness quality of the proposed TRNGs has been ensured by using Shannon's entropy and histogram analysis. Furthermore, the National Institute of Standards and Technology (NIST) test suite has also been introduced to evaluate the proposed TRNGs and compare with the existing results in the literature.
AB - In this paper, a new chaos-based true random number generator (TRNG) and a sliding mode controller (SMC) to synchronize the proposed TRNGs are proposed. Firstly, the continuous chaotic system is transformed into a discrete system that preserves the original continuous system's chaotic behavior and makes it easy to realize with the field-programmable gate array (FPGA) for synchronization control. Then, a discrete SMC is introduced to solve the synchronization problem of the master-slave discrete chaotic systems. Subsequently, a novel hybrid function integrated with the El-Gamal algorithm is proposed to complete the TRNG design. Finally, the FPGA-based realization of the synchronized master-slave TRNGs is implemented. The randomness quality of the proposed TRNGs has been ensured by using Shannon's entropy and histogram analysis. Furthermore, the National Institute of Standards and Technology (NIST) test suite has also been introduced to evaluate the proposed TRNGs and compare with the existing results in the literature.
UR - http://www.scopus.com/inward/record.url?scp=85123292572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123292572&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3142536
DO - 10.1109/ACCESS.2022.3142536
M3 - Article
AN - SCOPUS:85123292572
SN - 2169-3536
VL - 10
SP - 8279
EP - 8286
JO - IEEE Access
JF - IEEE Access
ER -