To detect anomaly timely and precisely in high-speed network

an algorithm

named DA-MTS（detecting anomaly on multi-time-scale synchronously）

was proposed.Firstly

pre-process the time series of traffic with non-decimated Haar wavelet transform to produce detail signals

which approximately follow Gaussian white noise.Then detect anomaly based on "3σ" principal of normal distribution.Analysis and experiments reveal that this algorithm can detect anomaly on several time-scales recursively without delay

so it can detect anomaly precisely and timely.