基于混沌离散模型的体能训练监测仪数据加密传输技术

Data Encryption and Transmission Technology for Physical Fitness Training Monitor Based on Chaotic Discrete Model

运动员的体能训练方法与训练效果是具有保密性,体育运动员的各项体能指标以及训练成绩常通过体能训练监测仪获取以及保存,因此,体能训练监测仪获取的数据都需要进行加密处理。混沌系统可以很好地符合当前加密技术中的扩散、混淆和密钥依赖等需求,为此,研究将混沌技术引入到信息安全中,建立起一套基于混沌的数据加密与解密体系。之后,使用一种离散时间系统单变量反控制与同步的方法,并将其用于对混沌序列进行数字图像加密。研究通过仿真实验,得到该混沌离散模型在正弦角度相差0.000 001°时,分量误差在-500至500之间,并且模型在5次迭代内完成系统同步。在安全性分析中,加密图像的直方图结果呈均匀分布。因此,该模型具有较好的加解密性以及安全性。

The physical fitness training methods and effects of athletes are confidential.The various physical fitness indicators and training results of sports athletes are often obtained and saved through physical fitness training monitors.Therefore,the data obtained by physical fitness training monitors needs to be encrypted.Chaotic systems can well meet the requirements of diffusion,confusion,and key dependency in current encryption technologies.Therefore,research has introduced chaos technology into information security and established a chaotic based data encryption and decryption system.Afterwards,a single variable inverse control and synchronization method for discrete-time systems was used to encrypt digital images of chaotic sequences.Through simulation experiments,it was found that the chaotic discrete model has a component error between-500 and 500 when the sine angle difference is 0.000 001 °,and the model completes system synchronization within 5 iterations.In security analysis,the histogram results of encrypted images are uniformly distributed.Therefore,this model has good encryption and decryption performance as well as security.