Research of Web Application Intrusion Anomaly Detection Based on GV-Gram Model

摘要

In this paper, an anomaly detection method based On gap variable length frequent short sequence (GV-Gram). Model is proposed.the basic structure of application procedure call sequences is deeply presented and on the basis of mining, G V-Gram pattern with redundant pattern control mechanism, a new GV-Gram event flow chart model covering sequence. Selection and cycle is established.