Anomaly Software Use Pattern Detection Based on Log
Zeng De-sheng · Journal of Huaihai Institute of Technology · 2011
The use of outlier log analysis was proposed where the log data were preprocessed to establish the appropriate mining size and depict a normal mode.The improved method can be used for the large-scale anomalous detection of data sets,reducing the false alarm rate and greatly improving the detection rate to achieve the desired time efficiency.The system can analyze the users' logs regularly,find the suspect from the logs automatically,prevent and deal with the illegal operations in a timely manner.Therefore,it can improve the degree of intelligence,and the accuracy and efficiency of detection.