ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network

Table 5

Flash crowd false positive results.

Scenario	False Positives; (%)	Start of Window Size Interval
FlashCrowd; 40 apps; 1200sec	14.29	1110
FlashCrowd; 40 apps; 1200sec	12.5	1380,1860, 1950,1980, 2160
FlashCrowd; 40 apps; 4200sec	41.12	990, 1020, 1110,1170 1260,1380, 1440, 1470, 1500, 1560, 1590, 1620, 1770, 1800, 1830, 1860,1950, 1980, 2040, 2070, 2100,2160, 2190, 2250, 2460, 2490, 2550, 2640, 2730, 2760, 3090, 3210, 3240, 3330, 3390, 3420, 3480, 3690,3750, 3810, 3930, 4020,4110, 4140
FlashCrowd; 45 apps; 1200sec	85.71	990,1020, 1050,1080,1110,1140
FlashCrowd; 45 apps; 2200sec	82.5	990, 1020,1050, 1080, 1110, 1140, 1170, 1200, 1230,1290, 1320, 1380, 1410, 1440,1470,1500, 1560, 1590, 1620, 1650, 1680, 1710, 1740, 1770, 1800, 1830, 1860,1890, 1920,1980, 2040, 2070, 2100
FlashCrowd; 45 apps; 2200sec	24.30	990, 1020, 1080, 1170 1380,1410, 1500, 1650, 1740, 1770, 1830, 1860, 1890, 2100, 2400, 2460, 2550, 2760, 3240, 3420, 3510, 3720, 3840,3900, 4080, 4110