基于关联规则算法的无线通信网络数据安全分类方法

Wireless Communication Network Data Security Classification Method Based on Association Rule Algorithm

针对现有数据安全性分类方法的分类精度和效率较低问题,提出基于关联规则算法的无线通信网络数据安全分类方法。通过关联规则挖法找出无线通信网络数据间联系,采用C4.5决策树方法实现数据安全性初步分类,利用马尔可夫链构建无线通信网络射频信号的安全性分类模型,测试结果证明:所提方法ACU面积指标接近于1,适用性强,分类精度高,且分类时间在30 min以内,能够有效提升了分类速度,鲁棒性高。

Aiming at the problem of low classification accuracy and efficiency of existing data security classification methods,a data securi-ty classification method for wireless communication networks based on association rule algorithm is proposed.It finds out the connection between wireless communication network data by association rule mining method,using C4 the decision tree method realizes the preliminary classification of data security,and constructs the security classification model of radio frequency signals in wireless communication network by using Markov chain.The test results show that the ACU area index of this method is close to 1,has strong applicability,high classification accuracy,and the classification time is less than 30 minutes,which can effective-ly improve the classification speed and high robustness.