Due to the lack of recognition ability for suspicious attack data in traditional network security defense methods,causing poor network resilience to attacks,propose a multidimensional and three-dimensional public opinion big data monitoring network security defense method.Capture multidimensional and three-dimensional public opinion big data monitoring network data,after clustering analysis of the data,network attacks were detected,block network attacks based on the attack blocking mechanism based on the evil value,implement multidimensional and three-dimensional public opinion big data monitoring and network security defense.The experimental results indicate that,the anti attack capability index of the multi-dimensional and three-dimensional public opinion big data monitoring network under the design method is 0.951,the superior security defense performance of this method has been confirmed.
关键词
舆情大数据监测/网络安全/安全防御/防御方法
Key words
public opinion big data monitoring/network security/security defense/defense methods
维普
万方数据