摘要
为解决蜜罐捕获数据分析问题,采用动态贝叶斯网络的方法,分析蜜罐获取的数据,根据贝叶斯的递推公式对攻击行为进行预测,并将它应用于数据的分析,实验结果验证了这一方法的正确性和有效性。
In order to solve the problem of honeypot data capture and analysis, Using dynamic Bayesian network method. Analysis of honeypot data access, According to Bias recursion formula on aggressive behavior prediction, And its application in data analysis, Experimental results show that this method is correct and effective.
出处
《计算机安全》
2012年第12期46-49,共4页
Network & Computer Security
关键词
贝叶斯网络
数据捕获
预测分析
Bayesian network
Data capture
Predictive analysis
