Research Article
ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network
Table 3
DDoS flooding experiments results.
| Parameters | Attack Start | DR | TP | FP | FN | Prec. | (sec) | (%) | (%) | (%) | (%) | (%) |
| 5 apps Const. | 1000 | 100 | 100 | 0 | 0 | 100 |
| 5 apps Const. | 2000 | 100 | 100 | 0 | 0 | 100 |
| 5 apps Const. | 4000 | 100 | 100 | 0 | 0 | 100 |
| 5 apps Incr. | 1000 | 100 | 100 | 0 | 0 | 100 |
| 5 apps Incr. | 2000 | 98.6 | 87.50 | 0 | 12.5 | 100 |
| 5 apps Incr. | 4000 | 100 | 100 | 0 | 0 | 100 |
| 10 apps Const. | 1000 | 100 | 100 | 0 | 0 | 100 |
| 10 apps Const. | 2000 | 100 | 100 | 0 | 0 | 100 |
| 10 apps Const. | 4000 | 100 | 100 | 0 | 0 | 100 |
| 10 apps Incr. | 1000 | 100 | 100 | 0 | 0 | 100 |
| 10 apps Incr. | 2000 | 98.6 | 87.50 | 0 | 12.5 | 100 |
| 10 apps Incr. | 4000 | 100 | 100 | 0 | 0 | 100 |
|
|