Application of Daube chies wavelets for network traffic anomalies detection

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An approach to DDoS attacks detection based on wavelet analysis of users’ traffic under influence of various anomaly phenomena is presented in the paper. Capability of DDoS attack identification at legitimate traffic growth on the basis of averaging coefficients’ variations is demonstrated.

Information security, distributed denial in service, network traffic

Короткий адрес: https://sciup.org/14835100

IDR: 14835100

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