From: A deep learning framework for predicting cyber attacks rates
Dataset | MSE | MAD | PMAD | MAPE |
---|---|---|---|---|
ARIMA | ||||
I | 40,054,811 | 5,038.95 | 0.1352803 | 0.1378065 |
II | 100,487,103 | 6,763.351 | 0.2618205 | 0.314159 |
III | 47,486,461 | 3,478.307 | 0.2212886 | 0.2573687 |
IV | 17,002,355 | 2,353.409 | 0.8187241 | 0.8372556 |
V | 456,948,359 | 15,919.9 | 0.4062245 | 0.5932768 |
ARMA+GARCH | ||||
I | 38,077,842 | 4908.317 | 0.1317732 | 0.1361043 |
II | 93,164,156 | 5,861.041 | 0.2268906 | 0.2530479 |
III | 56,736,538 | 3431.358 | 0.2183016 | 0.2395564 |
IV | 3,837,969 | 1,356.005 | 0.4717387 | 0.5876807 |
V | 553,535,870 | 16,671.04 | 0.4253909 | 0.5267857 |
Hybrid | ||||
I | 36,177,293.39 | 4,652.507998 | 0.124905523 | 0.127347065 |
II | 93017462.9 | 6169.871649 | 0.238845915 | 0.281375049 |
III | 39,425,972.04 | 2,807.162152 | 0.178590549 | 0.206457204 |
IV | 3,162,758.321 | 1,063.447725 | 0.369961347 | 0.384547602 |
V | 493,400,639.5 | 16,787.20604 | 0.385329179 | 0.516025677 |