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.

LevelNumberPDR ()RL (pkt)ETE (Sec)
of MN10m/s20m/s30m/s10m/s20m/s30m/s10m/s20m/s30m/s

0pkt/s086.2684.6882.104.925.727.020.5060.5740.627

10pkt/s172.6368.6864.1325.4528.6130.611.0321.2321.304
226.4023.4217.95158.96196.42263.393.1883.0493.333

20pkt/s128.7525.5719.63140.55171.48228.573.2923.0133.059
212.0611.238.78524.18587.18898.823.6682.9524.973

Standard deviation values

0pkt/s03.092.221.770.910.880.850.140.100.11

10pkt/s13.927.432.101.866.101.460.190.350.06
22.315.453.3823.2659.2956.840.650.620.68

20pkt/s12.696.253.8021.1345.0544.260.320.370.65
21.251.913.7757.1390.70474.891.330.821.50