Research Article
ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network
| Study | Train (sec) | Wnd Size (sec) | Results (DR) | Attack | Features |
| [1] | 3200 | 600 | 100 | UDP Flood | Inc. bytes, pckts No, in & out pckts |
| [2] | 3194 | 60 | 99 | SYN Flood, DNS Flood, ICMP Flood | pckts No |
| [3] | 86400 | 300 | 100 | KDD99 | Bytes flows pckts per min. |
| [4] | 86400 | 900 | 100 | SYN Flood | packet src ip, dst ip, src port, dst port |
| [5] | - | - | 94 | KDD99 | pckts No ip adr. |
| [6] | 6000 | 60 | 99.5 | KDD99 | pckts No ip adr |
| [7] | - | - | 93.75 | DARPA | packets |
| [8] | - | - | 98.4 | KDD99 | pckts No ip adr. |
| For Chaos | 1000 | 30 | 98.61-100 (Flood) 94.93-100 (Slow-Rt) | App. Flood Slow-Rate | Table 1. |
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