Breaking chaotic shift key communication via adaptive key identification

Ren, Hai‐Peng; Han, Chongzhao; Liu, Ding

doi:10.1088/1674-1056/17/4/009

Chinese Phys. B

2008

DOI: 10.1088/1674-1056/17/4/009

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Breaking chaotic shift key communication via adaptive key identification

Hai‐Peng Ren¹,

Chongzhao Han²,

Ding Liu³

Abstract: Breaking chaotic shift key communication via adaptive key identification * Ren Hai-Peng(任海鹏) a)b) † , Han Chong-Zhao(韩崇昭) a) , and Liu Ding(刘丁) b)

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Cited by 7 publications

References 30 publications

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Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Liu

Xiong

2012

Chaos: An Interdisciplinary Journal of Nonlinear Science

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In this paper, a new method to break chaotic direct sequence spread spectrum (CD3S) communication systems is proposed. Here, the CD3S communication system transmitting different information symbols is considered as a combination of two subsystems which are driven by two different chaotic dynamic models, respectively. At every single time moment, the CD3S signal can be regarded as generated by the subsystem corresponding to the information symbol transmitted. Then, based on the multiple model form of CD3S signals, an interacting multiple model unscented Kalman filter with model switching detection mechanism is exploited to track the CD3S signals. The l(2)-norm of tracking errors is used to choose the model which best matches the intercepted signals. Thus, the information symbols are recovered indirectly. Compared with the existing methods, the proposed algorithm can: (1) reduce the influence of a low spreading factor; (2) calculate the spreading factor using the length of time intervals between model switching; and (3) be more effective under scenarios of low signal-to-noise ratio or multipath fading. Simulation results verify the superiority of the proposed method.

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Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Liu

Xiong

2012

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Filtering noisy chaotic signal via sparse representation based on random frame dictionary

Xie

Feng

2010

Chinese Phys. B

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Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

俎云霄¹,

周杰²

2012

Chinese Phys. B

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Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.

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Breaking chaotic shift key communication via adaptive key identification

Abstract: Breaking chaotic shift key communication via adaptive key identification * Ren Hai-Peng(任海鹏) a)b) † , Han Chong-Zhao(韩崇昭) a) , and Liu Ding(刘丁) b)

Cited by 7 publications

References 30 publications

Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Filtering noisy chaotic signal via sparse representation based on random frame dictionary

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

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About

Breaking chaotic shift key communication via adaptive key identification

Abstract: Breaking chaotic shift key communication via adaptive key identification * Ren Hai-Peng(任海鹏) a)b) † , Han Chong-Zhao(韩崇昭) a) , and Liu Ding(刘 丁) b)

Cited by 7 publications

References 30 publications

Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Breaking a chaotic direct sequence spread spectrum communication system using interacting multiple model-unscented Kalman filter

Filtering noisy chaotic signal via sparse representation based on random frame dictionary

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

Contact Info

Product

Resources

About

Abstract: Breaking chaotic shift key communication via adaptive key identification * Ren Hai-Peng(任海鹏) a)b) † , Han Chong-Zhao(韩崇昭) a) , and Liu Ding(刘丁) b)