DDoS attacks detecting algorithm based on continuous wavelet transforms with reliability evaluation

As traditional methods cannot effectively detect DDoS attacks in time, a DDoS attack detecting algorithm based on continuous wavelet transforms with reliability evaluation is proposed to detect the DDoS attacks in real-time. In the algorithm, continuous wavelet transforms are used to analyze the traffic data uninterruptedly and to detect the short-flat-burst or the long-flat-burst, which always represent DDoS attacks, and then an algorithm evaluates the reliability of alert, and to reduce the inaccurate alerts caused by single-point-burst and flow noise. Experiments show that the detection algorithm is more effective in detecting DDoS attacks than the discrete wavelet transform method, N-point-average method and gradient method.