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Detection of Fuzzy Clustering Anomaly Intrusion Behavior Based on Feature Selection in Web Big Data Environment

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DOI: 10.25236/mmmce.2019.086


Hongyan Diao

Corresponding Author

Hongyan Diao


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 [1].


Fuzzy Clustering, Abnormal Intrusion, Computer Network Security, Web Big Data