Bruno Bogaz Zaperlão

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Detecting anomalies accurately is fundamental to rapid problems diagnosis and repair. This paper proposes a novel anomaly detection system based on the comparison of real traffic and DSNS (Digital Signature of Network Segment), generated by BLGBA model, within a hysteresis interval using the residual mean and on the correlation of the detected deviations.(More)
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