| Hyper-chaos encryption using convolutional masking and model free unmasking |
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| 作者姓名： | 齐国元 Sandra Bazebo Matondo |
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| 基金项目： | Project supported by the Incentive Funding National Research Foundation of South Africa(Grant No.70722);the Eskom Tertiary Education Support Programme of South Africa |
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| 摘 要： | In this paper, during the masking process the encrypted message is convolved and embedded into a Qi hyper-chaotic system characterizing a high disorder degree. The masking scheme was tested using both Qi hyper-chaos and Lorenz chaos and indicated that Qi hyper-chaos based masking can resist attacks of the filtering and power spectrum analysis, while the Lorenz based scheme fails for high amplitude data. To unmask the message at the receiving end, two methods are proposed. In the first method, a model-free synchronizer, i.e. a multivariable higher-order differential feedback controller between the transmitter and receiver is employed to de-convolve the message embedded in the receiving signal. In the second method, no synchronization is required since the message is de-convolved using the information of the estimated derivative.
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| 关 键 词： | 混沌加密 去卷积 无模型 掩蔽 高阶微分反馈控制器 自由 功率谱分析 超混沌 |
Hyper-chaos encryption using convolutional masking and model free unmasking |
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| Abstract: | In this paper, during the masking process the encrypted message is convolved and embedded into a Qi hyper-chaotic system characterizing a high disorder degree. The masking scheme was tested using both Qi hyper-chaos and Lorenz chaos and indicated that Qi hyper-chaos based masking can resist attacks of the filtering and power spectrum analysis, while the Lorenz based scheme fails for high amplitude data. To unmask the message at the receiving end, two methods are proposed.In the first method, a model-free synchronizer, i.e. a multivariable higher-order differential feedback controller between the transmitter and receiver is employed to de-convolve the message embedded in the receiving signal. In the second method,no synchronization is required since the message is de-convolved using the information of the estimated derivative. |
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| Keywords: | Qi hyper-chaos masking high-order differentiator chaos-based encryption |
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