基于演化博弈的移动通信数据拟态防御方法
A Method of Mobile Communication Data Pseudomorphic Defense Based on Evolutionary Game
李俊 1唐智灵2
作者信息
- 1. 广西警察学院信息技术学院,广西 南宁 530222
- 2. 桂林电子科技大学信息与通信学院,广西 桂林 541004
- 折叠
摘要
通信数据在拟态防御时,若未能及时处理数据中的噪声,会直接影响数据的拟态防御效果,给数据传输带来安全威胁.为提升数据的拟态防御效果,提出基于演化博弈的移动通信数据拟态防御方法.针对数据中的噪声问题,使用阈值去噪方法对数据实施去噪处理,并根据去噪结果提取数据的通信行为特征;以上述操作为基础,结合演化博弈理论建立移动通信数据拟态防御模型,通过获取模型动态调度值制定出最佳调度策略;将提取的数据行为特征输入到构建的模型内,利用调度策略实现移动通信数据的拟态防御.实验结果表明,使用上述方法开展数据拟态防御时,防御效果较好.
Abstract
During the mimic defense of communication data,if the noise in data is not processed in time,it will di-rectly affect the effect of mimic defense of data and bring security threats to data transmission.In order to improve the effect,this article put forward a method of mimic defense for mobile communication data based on evolutionary game.Aiming at the noise,our method used the threshold denoising method to remove the noise from data and thus extract the communication behavior characteristics of the data according to the denoising results.On this basis,the evolution-ary game theory was adopted to build a model of mimic defense.Then,the optimal scheduling strategy was formulated based on the dynamic scheduling value of the model.Moreover,the extracted data behavior characteristics were input into the model.Finally,the mimic defense of mobile communication data was realized by using the scheduling strategy.Experimental results prove that the method is effective in Mimic Defense.
关键词
演化博弈/移动通信数据/拟态防御方法/数据去噪/行为特征提取Key words
Evolutionary game/Mobile communication data/Mimic Defense method/Data denoising/Behavior feature extraction引用本文复制引用
基金项目
2022年度广西高等教育本科教学改革工程项目(2022JGB419)
出版年
2024
NETL
NSTL
万方数据