考虑并行干扰抵消的通信网络终端敏感信息混沌加密

Chaos Encryption of Sensitive Information in Communication Network Terminals Considering Parallel Interference Cancellation

摘要

针对传统通信网络终端敏感信息的加密方法通常无法兼顾信号的高敏感性和复杂环境下的鲁棒性,从而使加密后的信息容易被破解或篡改的问题,提出一种基于并行干扰抵消技术和演化超网络模型的混沌加密解决方案.首先,通过最小均方误差构建权值矢量矩阵,实现各用户干扰信号的估计和排序,并从中减除干扰,以提升目标信号的质量;其次,引入演化超网络模型,利用超边关联规则确定信息样本的敏感性,构建决策分类模型,实现对敏感数据的挖掘;最后,利用Lyapunov指数衡量混沌序列的敏感性,结合前馈流密码机制及置乱处理,生成高安全性敏感信息密钥流,以确保加密过程中的高敏感性和复杂环境下的鲁棒性,从而提高加密信息的安全性和抗破解能力.实验结果表明,该方法能提高加密方法的抗干扰能力,在提高信息传输效率的同时保证信息安全.

Abstract

Aiming at the problem that traditional encryption methods for sensitive information in communication network terminals often failed to balance the high sensitivity of signals and robustness in complex environments, making encrypted information vulnerable to cracking or tampering, we proposed a chaotic encryption solution based on parallel interference cancellation technology and evolutionary hypernetwork model. Firstly, by constructing a weight vector matrix with minimum mean square error, the estimation and ranking of interference signals from each user could be achieved, and interference could be subtracted from them to improve the quality of the target signal. Secondly, an evolutionary hypernetwork model was introduced to determine the sensitivity of information samples by using hyperedge association rules, construct a decision classification model, and achieve mining of sensitive data. Finally, by using Lyapunov exponent to measure the sensitivity of chaotic sequences, combined with feedforward stream cipher mechanism and scrambling processing, a high security sensitive information key stream was generated to ensure high sensitivity and robustness in complex environments during the encryption process, thereby improving the security and anti-cracking ability of encrypted information. The experimental results show that the proposed method can improve the anti-interference ability of encryption methods, and enhance the transmission efficiency of information while ensuring information security.

关键词

通信网络安全 / 敏感信息 / 并行干扰抵消 / 混沌运动 / 混沌映射 / Lyapunov指数

Key words

communication network security / sensitive information / parallel interference cancellation / chaotic motion / chaotic mapping / Lyapunov exponent

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基金资助

北京市数字教育研究课题重点项目(BDEC2022619014)

校设科研基金自然科学项目一般项目(ZF16073)