八维广义同步系统在伪随机数发生器中的应用

韩丹丹; 闵乐泉; 赵耿

doi:10.11999/JEIT150899

八维广义同步系统在伪随机数发生器中的应用

doi: 10.11999/JEIT150899

1.
(北京科技大学自动化学院北京 100083) ②(北京科技大学数理学院北京 100083) ③(北京电子科技学院北京 100070)

基金项目:

国家自然科学基金(61074192, 61170037)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-07-30
- 修回日期: 2015-12-18
- 刊出日期: 2016-05-19

Application of 8-dimensional Generalized Synchronization System in Pseudorandom Number Generator

1.
(School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China)
2.
(School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China)

Funds:

The National Natural Science Foundation of China (61074192, 61170037)

摘要

摘要: 该文提出一类4维离散系统。利用系统平衡点处 Jacobi 矩阵的特征值来分析系统在平衡点处的稳定性，建立了一个判别这类系统为周期或混沌的定理。依据该定理构造了一个新的4维离散系统。该系统具有正的Lyapunov指数，数值模拟显示该系统的动力学行为具有混沌特性。结合该系统和系统广义同步定理构造了一个8维广义同步混沌系统。利用该系统构造了一个16 bit混沌伪随机数发生器 (CPRNG)，其密钥空间大于21245。利用FIPS 140-2 检测/广义FIPS 140-2检测判别标准分别检测由CPRNG, Narendra RBG, RC4 PRNG和ZUC PRNG生成的1000个长度为20000 bit的密钥流的随机性。检测结果表明，分别有100%/99%, 100%/82.9%, 99.9%/ 98.8%和100%/97.9%密钥流通过FIPS 140-2检测/广义FIPS 140-2 检测标准。数值仿真显示不同密钥流之间有平均50.004%不同码。结果说明设计的伪随机数发生器有好的随机性，可以抵抗穷尽攻击。该文提出的CPRNG为密码安全的研究与发展提供了新的工具。
- 伪随机数发生器 /
- 混沌系统 /
- 收敛性 /
- 广义同步 /
- 随机性检测
Abstract: This paper proposes a class of 4-Dimensional Discrete Systems (4DDSs). Using the eigenvalues of Jacobian matrix of the system at the equilibrium, the?stability of the system at the equilibrium is analyzed. A theorem is set up, which is used to determine whether the class systems are periodic or chaotic. Based on the theorem, a 4DDS is constructed. The 4DDS has positive Lyapunov exponent. Numerical simulations show that the dynamic behaviors of the 4DDS have chaotic attractor characteristics as they expects. Combining the 4DDS with Generalized Synchronization (GS) theorem, an 8-Dimensional GS Chaotic System (8DGSCS) is designed. Using this system, this paper designs a 16 bit string Chaotic Pseudo Random Number Generator (CPRNG). Theoretically the key space of the CPRNG is larger than 21245. The FIPS 140-2 test suit/Generalized FIPS 140-2 test suit are used to test the randomness of the 1000-key streams consisting of 20000 bit generated by the CPRNG, Narendra RBG, RC4 PRNG and ZUC PRNG, respectively. The results show that there are 100%/99%, 100%/ 82.9%, 99.9%/98.8% and 100%/97.9% key streams passing the FIPS 140-2 test suit/Generalized FIPS 140-2 test suit, respectively. Numerical simulations show that the different key-streams have 50.004% different codes. The results show that the generated CPRNG has good randomness properties, can better resist the brute attack. The designed CPRNG provides a novel tool for the research and development of cryptography.
- Pseudo-Random Number Generator (PRNG) /
- Chaotic system /
- Convergence /
- Generalized synchronization /
- Randomness test

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参考文献(25)

SPROTT J G. Chaos and Time-sries Analysis[M]. Oxford: Oxford University Press, 2003: 1-120.

LI Tianyan and YORKE J A. Period three implies chaos[J]. The American Mathematical Monthly, 1975, 82(10): 985-992.

BARBERIS G E. Non-periodic pseudo-random numbers used in Monte Carlo calculations[J]. Physica B-Condensed Matter, 2007, 398: 468-471. doi: 10.1016/j.physb.2007.04.088.

DIAZ N C, GIL A V, and VARGAS M J. Assessment of the suitability of different random number generators for Monte Carlo simulations in gamma-ray spectrometry[J]. Applied Radiation and Isotopes, 2010, 68(3): 469-473. doi: 10.1016/ j.apradiso.2009.11.037

JOAN M S, JOAQUIN G A, and JORDI H J. J3Gen: a PRNG for low-cost passive RFID[J]. Sensors, 2013, 13(3): 3816-3830. doi: 10.3390/s130303816.

HARASE S. On the F2-linear relations of Mersenne Twister pseudorandom number generators[J]. Mathematics and Computers in Simulation, 2014, 100(1): 103-113. doi: 10. 1016/j.matcom.2014.02.002.

PATIDAR V, PAREEK N K, PUROHIT G, et al. A robust and secure chaotic standard map based pseudorandom permutation-substitution scheme for image encryption[J]. Optics Communications, 2011, 284(19): 4331-4339. doi: 10. 1016/j.optcom.2011.05.028.

TIAN Hui, ZHOU Ke, and LU Jing. A VoIP-based covert communication scheme using compounded pseudorandom sequence[J]. International Journal of Advancements in Computing Technology, 2012, 4(1): 223-230. doi: 10.4156/ ijact.vol4.issue1.25.

MIN Lequan and CHEN Guanrong. A novel stream encryption scheme with avalanche effect[J]. The European Physical Journal B, 2013, 86(11): 459-472. doi: 10.1140/ epjb/e2013-40199-7.

HAZARIKA N and SAIKIA M. A novel partial image encryption using chaotic logistic map[C]. Proceedings of 2014 International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2014: 231-236.

WANG Xingyuan, LIU Lintao, and ZHANG Yingqian. A novel chaotic block image encryption algorithm based on dynamic random growth technique[J]. Optics and Lasers in Engineering, 2015, 66(1): 10-18. doi: 10.1016/j.optlaseng. 2014.08.005.

NIST. Fips-pub-140 Security Requirements for Cryptographic Modules[M]. Gaithersburg: NIST Special Publication, 2001: 1-30.

RUKHIN R, SOTO J, NECHVATAL J, et al. SP800-22-2001. a statistical test suite for random and pseudorandom number generator for cryptographic applications[S]. 2001.

王蕾,　汪芙平,　王赞基. 一种新型的混沌伪随机数发生器[J]. 物理学报, 2006, 55(8): 3964-3968.

WANG Lei, WANG Fuping, and WANG Zanji. A novel chaos based pseudorandom number generator[J]. Acta Physica Sinica, 2006, 55(8): 3964-3968.

王华伟. 无理数发生器及确定性随机数发生器[J]. 武汉理工大学学报(交通科学与工程版), 2012, 36(1): 215-218.

WANG Huawei. Irrational number generator and deterministic random bit generator[J]. Journal of Wuhan University of Technology (Transportation Science and Engineering), 2012, 36(1): 215-218.

NARENDRA K P, VINOD P, and KRISHAN K S. A random bit generator using chaotic maps[J]. International Journal of Network Security, 2010, 10(1): 32-38.

FRANCOIS M, GROSGES T, and BARCHIESI D. Pseudo-random number generator based on mixing of three chaotic maps[J]. Communications in Nonlinear Science and Numerical Simulation, 2014, 19(4): 887-895. doi: 10.1016/ j.cnsns.2013.08.032.

AKHSHANI A, AKHAVAN A, and MOBARAKI A. Pseudo random number generator based on quantum chaotic map[J]. Communications in Nonlinear Science and Numerical Simulation, 2014, 19(1): 101-111. doi: 10.1016/j.cnsns.2013. 06.017.

ZANG Hongyan, MIN Lequan, and ZHAO Geng. A generalized synchronization theorem for discrete-time chaos system with application in data encryption scheme[C]. Proceedings of 2007 International Conference on Communications, Kokura, Fukuoka Japan, 2007: 1325-1329.

MIN Lequan, HAO Longjie, and ZHANG Lijiao. Study on the statistical test for string pseudorandom number generators[J]. Advances in Brain Inspired Cognitive Systems, 2013, 7888(1): 278-287. doi: 10.1007/978-3-642-38786-9_32.

MIN Lequan, CHEN Tianyu, and ZANG Hongyan. Analysis of Fips 140-2 test and chaos- based pseudorandom number generator[J]. Chaotic Modeling and Simulation, 2013, 2(1): 273-280.

GOLOMB S. Shift Register Sequences[M]. Laguna Hills: Aegean Park Press, 1981: 1-100.

ETSI/SAGE TS 35.222-2011. Specification of the 3GPP confidentiality and integrity algorithms 128-EEA3 128-EIA3. Document 2: ZUC Specification[S]. 2011.

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