Abstract:
In this paper, we proposed using the Analytical Hierarchical Process (AHP) model
as a multicriteria decision-making method to establish a more accurate system
for evaluating the attack's severity on network performance based on
determining the weight of four qualitative and quantitative indicators:
throughput, latency, packet delivery rate, and energy consumption. We applied
this model to evaluate the severity of three attack kinds (black hole, gray hole,
and wormhole attacks) on the wireless body area network performance to
determine the most or least dangerous one. Experimental results show that
using the AHP model in evaluating the attacks' severity on network performance
to determine the most or least dangerous one is more accurate than using
network performance analysis based on the packet delivery ratio, delay, energy
consumption, and data rate in evaluating the attacks' severity and determining
the most dangerous one as in existing works
