Detection of Fuzzy Clustering Anomaly Intrusion Behavior Based on Feature Selection in Web Big Data Environment
With the continuous development of modern modern society, information technology has been more and more widely used. In the current daily life, network information has become the main channel for the public to obtain information, and in the future, the proportion of the channel It will be even more important, but it is precisely because of this that the construction of information security is becoming more and more important. In the face of malicious attacks by lawless elements, effectively improving the security defense methods of the network and establishing an efficient method for detecting abnormal behavior becomes a computer. An important project in the field of network security development, this paper discusses some of the popular fuzzy clustering anomaly intrusion detection.
Fuzzy Clustering Abnormal Intrusion Computer Network Security Web Big Data
Hongyan Diao
Wuxi South Ocean College, Wuxi, Jiangsu, 214081, China
国际会议
呼和浩特
英文
411-414
2019-07-27（万方平台首次上网日期，不代表论文的发表时间）