| 新混沌系统与神经网络结合的图像加密算法 |
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| 引用本文： | 许向亮,李国东,戴婉莹.新混沌系统与神经网络结合的图像加密算法[J].西华大学学报(自然科学版),2021,40(5):42-52. |
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| 作者姓名： | 许向亮 李国东 戴婉莹 |
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| 作者单位： | 1.新疆财经大学统计与数据科学学院，新疆 乌鲁木齐 830012 |
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| 基金项目： | 国家自然科学基金项目（11461063）；新疆维吾尔自治区自然科学基金项目（2017D01A24）；新疆财经大学基金项目（2019XTD002） |
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| 摘 要： | 为了解决传统单一混沌图像加密算法中混沌系统退化、加密算法难以抵抗选择明文攻击等问题，构造了新3D-Duffing混沌系统，设计了一种明文相关联的位循环扩散加密算法，对图像进行第一次加密；采用RBF神经网络对Henon混沌序列进行预测，得到预测密钥流，在加密序列中随机嵌入预测密钥的方法来对图像进行二次加密，从而能有效地抵抗选择明文攻击。实验结果对比分析表明，该算法能够使图像像素值完全改变，且加密后的图像像素值分布均匀，NPCR和UACI值均接近理论值。该算法不仅解决了混沌系统退化等问题，还进一步提高了加密算法的安全性，具有良好的应用价值。
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| 关 键 词： | 三维Duffing混沌系统 位循环扩散加密 RBF神经网络 嵌入密钥 图像加密 |
| 收稿时间： | 2021-05-28 |
Image Encryption Algorithm Based on New Chaotic System and Neural Network |
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| XU Xiangliang,LI Guodong,DAI Wanying.Image Encryption Algorithm Based on New Chaotic System and Neural Network[J].Journal of Xihua University:Natural Science Edition,2021,40(5):42-52. |
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| Authors: | XU Xiangliang LI Guodong DAI Wanying |
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| Affiliation: | 1.School of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi 830012 China |
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| Abstract: | In order to solve the problems of chaotic system degradation in traditional single chaotic image encryption algorithm and the encryption algorithm is difficult to resist the chosen plaintext attack, a new 3D-Duffing chaotic system is constructed, and a plaintext related bit cyclic diffusion encryption algorithm is designed. The image is encrypted for the first time. RBF neural network is utilized to predict the Henon chaotic sequence and obtain the predicted key stream. A method of randomly embedding prediction key in the encryption sequence is proposed to encrypt the image twice, and it can resist the chosen plaintext attack effectively. The experimental results show that the algorithm can make the image pixel values completely change, and the encrypted image pixel values are evenly distributed, and the NPCR and UACI values are close to the theoretical values. The algorithm not only solves the above problems, but also further improves the security of the encryption algorithm, and has good application value. |
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