摘要
研究了一种基于数据挖掘技术的异常检测模型,根据这种模型所建构的系统具有一定的准确性、可扩展性与自适应性.此外对该模型中的一些关键技术进行了研究.
This paper studies an anomaly detection model based on data mining technology, based on which the system has certain accuracy, scalability and adaptability. In addition, some key technologies of this model are studied in this paper.
出处
《菏泽学院学报》
2017年第2期44-47,共4页
Journal of Heze University
关键词
数据挖掘
异常检测
模型
网络安全
data mining
anomaly detection
model
network security
