发明公开
EP2672676A1 Methods and systems for statistical aberrant behavior detection of time-series data
审中-公开
方法和系统检测的时间序列数据的统计异常行为
- 专利标题： Methods and systems for statistical aberrant behavior detection of time-series data
- 专利标题（中）： 方法和系统检测的时间序列数据的统计异常行为
-
申请号： EP13170930.5申请日： 2013-06-06
-
公开(公告)号： EP2672676A1公开(公告)日： 2013-12-11
- 发明人: Luiset, Sylvain , Thomas, Matthew
- 申请人： VeriSign, Inc.
- 申请人地址： 12061 Bluemont Way Reston, VA 20190 US
- 专利权人： VeriSign, Inc.
- 当前专利权人： VeriSign, Inc.
- 当前专利权人地址： 12061 Bluemont Way Reston, VA 20190 US
- 代理机构： Harrison Goddard Foote LLP
- 优先权： US201213491425 20120607
- 主分类号： H04L29/06
- IPC分类号： H04L29/06 ; H04L29/12
摘要：
Methods and systems for detecting aberrant behavior in time-series observation data, such as non-existent domain data, are disclosed. The methods and systems analyze the time-series observation data to determine time-series prediction data. The time-series observation data and time-series prediction data are used to determine a threshold that is based on the standard deviation of deviation values between the time-series observation data and time-series prediction data. The threshold may be used to detect aberrant behavior in subsequently obtained time-series observation data.
公开/授权文献
信息查询
