Background: Trustful message transmission within the Vehicular ad-hoc Networks is
needed as traffic related safety applications needs successful and reliable delivery of messages. The
biggest issue is how only the trustworthy parties can be retained and the misbehaved are revoked.
From the background analysis, it gives a detailed view of various vulnerabilities in these networks
and the techniques used by the researchers to identify and mitigate the attack. Based on the drawbacks
observed in the literature the proposed Bayesian Game Mechanism has been designed.
Objective: The major objective of this manuscript is to identify the Denial of Service Attack in Vehicular
Ad-hoc Networks as it depletes availability of the resources. This attack is identified using
Bayesian Game approach.
Methods: The Bayesian game approach is used to identify the attack. It analyzes the behavior of
vehicles and classifies them into trustworthy or malicious.
Results: The simulation is conducted using Network simulator 2.34 and the traffic model is designed
using by considering 100 nodes. From the results it is inferred that Packet drop ratio has been
improved by 9.82 % and the delay and throughput has been minimized, when the proposed mechanism
is used in the presence of attackers.
Conclusion: This paper identifies Denial of Service attack as the most vulnerable attack in this network
and has designed game theoretic approach namely Bayesian approach for preventing this attack.
The proposed method has minimized the delay and packet drop and improved the throughput
when compared against the bench mark.