Software for Anomaly Detection Based on Hurst
一种基于Hurst指数的异常检测软件

Anomaly detection based on Hurst provids one new idea,based on which,this paper implemented one software for anomaly.The software captures data packets,extracts features,and implements time series division,adopts two methods--R/S and wavelet analysis for computing Hurst value,lastly,judgs whether anomaly happens based on the valve.The actual use of software proves that the anomaly detection based on Hurst does not need to learn and has advantage of efficient detection.