Time series analysis in cybersecurity

Computer attacks interrupt day-to-day services and cause data losses and network interruption. Time series analyses are popular machine learning methods that help to quantitatively detect anomalies or outliers in data, by either data fitting or forecasting. Time series analysis helps thwarting compromises and keep information loss to a minimum. The following graph shows the attacks mitigated on a routed platform: