摘要
常规的通信数据加密方法使用完整的时间序列获取数据加密特征,易受数据噪声影响,导致通信数据丢包率过高。因此,文章提出一种基于改进遗传算法的计算机网络通信数据加密方法,即利用复合混沌序列提取网络通信数据加密动态敏感特征,再结合种群进化曲线图,利用改进遗传算法构建计算机网络通信数据加密模型,从而完成计算机网络通信数据加密。实验结果表明,设计的计算机网络通信数据改进遗传算法加密方法的通信数据丢包率较低,加密效果较好,不易受外界噪声干扰,具有可靠性,有一定的应用价值,为降低计算机网络通信风险提供帮助。
Conventional communication data encryption methods use complete time series to obtain data encryption features,which are vulnerable to data noise and lead to high packet loss rate of communication data.Therefore,the article proposes a computer network communication data encryption method based on improved genetic algorithm.That is,the dynamic sensitive features of network communication data encryption are extracted by using the composite chaotic sequence,and then combined with the population evolution graph,the improved genetic algorithm is used to construct a computer network communication data encryption model,so as to complete the computer network communication data encryption.The experimental results show that the designed improved genetic algorithm encryption method for computer network communication data has a low packet loss rate of communication data,a good encryption effect,is not easily disturbed by external noise,has reliability,has certain application value,and provides assistance in reducing the risk of computer network communication.
作者
黄式敏
HUANG Shimin(Xiamen Zhaoxiang Intelligent Technology Co.,Ltd.,Xiamen Fujian 361000,China)
出处
《信息与电脑》
2023年第3期102-104,共3页
Information & Computer
关键词
改进遗传算法
计算机
网络通信
数据加密方法
improved genetic algorithm
computer
network communications
data encryption method
