数据挖掘技术在网络病毒预防中的应用

Application of Data Mining Technology in Network Virus Prevention

在网络不断普及的过程中,其逐渐被应用于金融、财产、人际关系等多种领域,在网络的应用过程中所产生的大量数据会造成网络病毒,因此,对海量网络数据进行挖掘不仅能够帮助用户更好使用数据,同时能够预防使用过程中的网络病毒。数据挖掘技术在网络病毒预防中的应用,首先提出挖掘原理,建立数据开采模型和挖掘过程,同时在挖掘过程中建立数据仓库,利用贝叶斯算法预防病毒,帮助提高网络安全性。

In the process of popularization of the network,has been used in finance,property,interpersonal relationships and other areas,a large amount of data generated by the application in the process of network can lead to network virus,therefore,the massive network data mining can not only help users to better use of data,and can be used in the process of network virus prevention.In the application of data mining technology in network virus prevention,we first put forward the mining principle,establish data mining model and mining process,and build data warehouse in the process of mining,use bayesian algorithm to prevent virus and help improve network security.