Results in Figure 5 persistently exhibit similar behavior in all the three types of attacks, it clearly implies that iSTRD is not sensitive to type of dishonest recommenders.
Here comparative analysis of iSTRD is presented with three indirect trust computation schemes, i.e., weighted averaging scheme , personal experience based scheme  and majority rule based scheme  referred as WAS, PES and MOS respectively in simulation.
We can observe that iSTRD accurately computes the evaluated node's aggregated indirect trust as evident from these four figures, i.e., aggregated indirect trust is same as that of aggregated indirect trust in absence of bad mouthers.
iSTRD filters out all the ballot stuffers and accurately evaluate the evaluated node's aggregated indirect trust as envisioned, i.e., the aggregated indirect trust is same as that of aggregated indirect trust in absence of ballot stuffers.
Conclusively stating iSTRD is a good choice under various parameters of dishonest recommenders and recommendations deviation for removing all three types of attacks.
In this paper, a scheme named "Intelligently Selection of Trust Recommendations based on Dissimilarity factor (ISTRD)" is presented in order to shield trust management system in MANETs against dishonest recommendations.