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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Research on neural network chaotic encryption algorithm in wireless network security communication
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Research on neural network chaotic encryption algorithm in wireless network security communication

机译：无线网络安全通信中神经网络混沌加密算法研究

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摘要

The rapid development of wireless network brings a lot of convenience to people's lives, but there are still many problems to be solved in wireless networks. Among them, communication security is the most critical, especially secure transactions on digital currency transactions are even more important. In traditional network communication encryption algorithms such as RSA and ECC, in order to further enhance the reliability of network communication security, the main means is to increase the length of the key, but this brings the complexity and workload of the calculation, and the speed of encryption cannot be realized. Compatible with security, the neural network chaotic encryption algorithm mainly uses the parallelity characteristics of the neural network and the chaotic dynamic characteristics to randomly generate a sequence, which has non-periodic characteristics. Therefore, the wireless network chaotic encryption algorithm is a good wireless communication security encryption algorithm. However, the traditional neural network chaotic encryption algorithm still has some shortcomings in its algorithm's security performance, encryption speed, encryption efficiency, and anti-deciphering performance. At the same time, the research on neural network chaotic encryption algorithm in wireless communication security is relatively less. In this paper, the performance defect of the original neural network chaotic encryption algorithm is optimized. A dynamic key encryption and decryption neural network chaos algorithm for wireless communication security is proposed. The algorithm is mainly based on the Aihara neural network model and introduces chaos, mapping, and hybrid coding. At the end of the paper, the algorithms before and after optimization are compared. The experimental results show that the algorithm proposed in this paper has a significant improvement in the encryption and decryption speed and anti-deciphering ability of the key.
机译：无线网络的快速发展为人们的生活带来了很大的便利，但在无线网络中仍有许多问题仍有许多问题。其中，通信安全是最关键的，尤其是数字货币交易的安全交易更为重要。在传统的网络通信加密算法之类的RSA和ECC中，为了进一步提高网络通信安全性的可靠性，主要的方式是增加密钥的长度，但这带来了计算的复杂性和工作量，速度和速度加密无法实现。兼容安全性，神经网络混沌加密算法主要使用神经网络的并行特性和混沌动态特性来随机生成序列，这具有非周期性特性。因此，无线网络混沌加密算法是一种良好的无线通信安全加密算法。然而，传统的神经网络混沌加密算法仍然具有算法的安全性能，加密速度，加密效率和防解密性能的一些缺点。同时，无线通信安全性中神经网络混沌加密算法的研究相对较少。本文优化了原始神经网络混沌加密算法的性能缺陷。提出了一种用于无线通信安全性的动态密钥加密和解密神经网络ChAOS算法。该算法主要基于Aihara神经网络模型，并引入混沌，映射和混合编码。在纸张结束时，比较了优化前后的算法。实验结果表明，本文提出的算法在密钥的加密和解密速度和防解密能力方面具有显着改善。

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