Communication Network Anomaly Detection Based on Log File Analysis

摘要：

　　Communication network today are becoming larger and increasingly complex.Failure in communication systems will cause loss of critical data and even economic losses.Therefore,detecting failures and diagnosing their root-cause in a timely manner is essential.Fast and accurate detection of these failures can accelerate problem determination,and thereby improve system reliability.Today log files have been paid attention on system and network failure detection,but it is still a challenging task to build an efficient model to detect anomaly from log files.To this effect,we propose a novel approach,which aims to detect frequent patterns from log files to build the normal profile,and then to identify the anomalous behaviour in log files.The experimental results demonstrate that our approach is an efficient way for anomaly detection with high accuracy and few false positives.

作者: Xin Cheng Ruizhi Wang

作者单位: Department of Computer Science and Technology, Tongji University, Shanghai, China

会议类型: 国际会议

会议名称: The 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014)(第九届粗糙集与知识技术国际会议)

会议地点: 上海

会议语种:英文

页码: 240-248

在线出版日期: 2014-10-24（万方平台首次上网日期，不代表论文的发表时间）