Research Article
FAPRP: A Machine Learning Approach to Flooding Attacks Prevention Routing Protocol in Mobile Ad Hoc Networks
Table 4
AODV performances under flooding attacks.
| Level | Number | PDR () | RL (pkt) | ETE (Sec) | of MN | 10m/s | 20m/s | 30m/s | 10m/s | 20m/s | 30m/s | 10m/s | 20m/s | 30m/s |
| 0pkt/s | 0 | 86.26 | 84.68 | 82.10 | 4.92 | 5.72 | 7.02 | 0.506 | 0.574 | 0.627 |
| 10pkt/s | 1 | 72.63 | 68.68 | 64.13 | 25.45 | 28.61 | 30.61 | 1.032 | 1.232 | 1.304 | 2 | 26.40 | 23.42 | 17.95 | 158.96 | 196.42 | 263.39 | 3.188 | 3.049 | 3.333 |
| 20pkt/s | 1 | 28.75 | 25.57 | 19.63 | 140.55 | 171.48 | 228.57 | 3.292 | 3.013 | 3.059 | 2 | 12.06 | 11.23 | 8.78 | 524.18 | 587.18 | 898.82 | 3.668 | 2.952 | 4.973 |
| Standard deviation values |
| 0pkt/s | 0 | 3.09 | 2.22 | 1.77 | 0.91 | 0.88 | 0.85 | 0.14 | 0.10 | 0.11 |
| 10pkt/s | 1 | 3.92 | 7.43 | 2.10 | 1.86 | 6.10 | 1.46 | 0.19 | 0.35 | 0.06 | 2 | 2.31 | 5.45 | 3.38 | 23.26 | 59.29 | 56.84 | 0.65 | 0.62 | 0.68 |
| 20pkt/s | 1 | 2.69 | 6.25 | 3.80 | 21.13 | 45.05 | 44.26 | 0.32 | 0.37 | 0.65 | 2 | 1.25 | 1.91 | 3.77 | 57.13 | 90.70 | 474.89 | 1.33 | 0.82 | 1.50 |
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