多维立体舆情大数据监测网络安全防御方法

Multidimensional and Three-dimensional Public Opinion Big Data Monitoring Network Security Defense Methods

传统网络安全防御方法缺乏对可疑攻击数据的识别能力,导致网络的抗攻击能力较差,因此提出一种多维立体舆情大数据监测网络安全防御方法,捕获多维立体舆情大数据监测网络数据,对数据进行聚类分析后检测网络攻击,根据基于罪恶值的攻击阻断机制对网络攻击进行阻断,实现多维立体舆情大数据监测网络安全防御。实验结果表明,设计方法下多维立体舆情大数据监测网络的抗攻击能力指数为0.951,说明该方法的安全防御性能优越。

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.