Presentation Information
[EDP1-11]Random-number generator using chaotic behavior in intrinsic Josephson junction stack
*Dai Oikawa1, Hirokazu Komatsu2, Keita Tsuzuki1, Hiroya Andoh1 (1. National Institute of Technology, Toyota College (Japan), 2. Kindai Univ. (Japan))
Keywords:
Josephson junction,Chaos
[Purpose]
The configuration of a robust high security system has been expecting because as computer processing speeds continue to improve, the vulnerabilities of cryptographic systems that rely on conventional pseudo-random numbers have raised concerns about potential leaks of confidential information. The high-quality and high-speed random numbers are required in order to configure the robust high security system. Here, high- quality random numbers mean the numbers are random, un-reproducible and unpredictable. By the way, using physical randomness phenomena, such as chaos, the high-quality random number generators are produced. Specially, chaos in Josephson junction (JJ) under irradiation with the radio frequency (RF) is an appropriate the random-number generator. We assumed the RF biased intrinsic Josephson junctions (IJJ) in mesa-type Bi2Sr2CaCu2Oy single crystal. Because the consideration of interaction each IJJ is required, it is insufficiency to evaluate the IJJ properties using conventional resistively and capacitively shunted JJ circuit model.
[Method]
We numerically investigated the chaotic voltage of IJJ stack under irradiation high frequency than conventional RF for the random number generators. We adopted for investigation the capacitively coupled JJ with diffusion current model, which include the interaction stacked each IJJ.
[Results and Consideration]
We computed the Lyapunov exponent to judge the presence of a chaotic behavior. The Lyapunov exponent of output voltage oscillation is positive between shapiro steps in current voltage characteristic Thereafter, The random-number sequences using chaotic voltage oscillation. Our random-number sequences from chaos in IJJ passed the NIST statistical verification test. This means random-number from chaos in IJJ is high quality.
[Conclusion]
The IJJ under irradiation with RF is promising for producing high-quality random-number generators.
The configuration of a robust high security system has been expecting because as computer processing speeds continue to improve, the vulnerabilities of cryptographic systems that rely on conventional pseudo-random numbers have raised concerns about potential leaks of confidential information. The high-quality and high-speed random numbers are required in order to configure the robust high security system. Here, high- quality random numbers mean the numbers are random, un-reproducible and unpredictable. By the way, using physical randomness phenomena, such as chaos, the high-quality random number generators are produced. Specially, chaos in Josephson junction (JJ) under irradiation with the radio frequency (RF) is an appropriate the random-number generator. We assumed the RF biased intrinsic Josephson junctions (IJJ) in mesa-type Bi2Sr2CaCu2Oy single crystal. Because the consideration of interaction each IJJ is required, it is insufficiency to evaluate the IJJ properties using conventional resistively and capacitively shunted JJ circuit model.
[Method]
We numerically investigated the chaotic voltage of IJJ stack under irradiation high frequency than conventional RF for the random number generators. We adopted for investigation the capacitively coupled JJ with diffusion current model, which include the interaction stacked each IJJ.
[Results and Consideration]
We computed the Lyapunov exponent to judge the presence of a chaotic behavior. The Lyapunov exponent of output voltage oscillation is positive between shapiro steps in current voltage characteristic Thereafter, The random-number sequences using chaotic voltage oscillation. Our random-number sequences from chaos in IJJ passed the NIST statistical verification test. This means random-number from chaos in IJJ is high quality.
[Conclusion]
The IJJ under irradiation with RF is promising for producing high-quality random-number generators.