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A Real-time and reliable detection of anomalies is an important and challenging task. Unlike most detection methods based on the statistical analysis of the packet headers (Such as IP addresses and ports), we propose a new nonlinear approach only using network traffic volumes to detect anomalies reliably. Our method is based on the largest Lyapunov exponent and the change-point detection theory to...
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