Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

<div class="floats-full-page floats-full-page-other"><h2>Table 5</h2><div class="floats-full-page-caption">Setting of anomaly localization test. </div><div class="floats-full-page-content"><table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr class="thead"><td align="left">Time of anomaly occurrence</td><td align="center">Injection position</td><td align="center">Type</td></tr><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr><td align="left">300</td><td align="center">OD50</td><td align="center">ALPHA</td></tr><tr><td align="left">703</td><td align="center">OD50, OD100</td><td align="center">Ingress/egress shift</td></tr><tr><td align="left">602</td><td align="center">OD7, OD40, OD60</td><td align="center">Flash crowd</td></tr><tr><td align="left">1704</td><td align="center">OD10, OD20, OD60, OD80</td><td align="center">DDoS</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 5 | Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

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Table 5: Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model

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Table 5

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