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Incentive-Driven Approach for Misbehavior Avoidance in Vehicular Networks

Shahid Sultan1, Qaisar Javaid1, Eid Rehman2,*, Ahmad Aziz Alahmadi3, Nasim Ullah3, Wakeel Khan4

1 Department of Computer Science and Software Engineering, International Islamic University, Islamabad, 44000, Pakistan
2 Department of Software Engineering, Foundation University Islamabad, 44000, Pakistan
3 Department of Electrical Engineering, Taif University KSA Taif, 21944, Saudi Arabia
4 Department of Electrical Engineering, Foundation University Islamabad, 44000, Pakistan

* Corresponding Author: Eid Rehman. Email: email

Computers, Materials & Continua 2022, 70(3), 6089-6106.


For efficient and robust information exchange in the vehicular ad-hoc network, a secure and trusted incentive reward is needed to avoid and reduce the intensity of misbehaving nodes and congestion especially in the case where the periodic beacons exploit the channel. In addition, we cannot be sure that all vehicular nodes eagerly share their communication assets to the system for message dissemination without any rewards. Unfortunately, there may be some misbehaving nodes and due to their selfish and greedy approach, these nodes may not help others on the network. To deal with this challenge, trust-based misbehavior avoidance schemes are generally reflected as the capable resolution. In this paper, we employed a fair incentive mechanism for cooperation aware vehicular communication systems. In order to deploy a comprehensive credit based rewarding scheme, the proposed reward-based scheme fully depends on secure and reliable cryptographic procedures. In order to achieve the security goals, we used the cryptographic scheme to generate a certified public key for the authenticity of every message exchange over the network. We evaluated the friction of misbehaving vehicles and the effect of rewarding schemes in context with honest messages dissemination over the network.


Cite This Article

APA Style
Sultan, S., Javaid, Q., Rehman, E., Alahmadi, A.A., Ullah, N. et al. (2022). Incentive-driven approach for misbehavior avoidance in vehicular networks. Computers, Materials & Continua, 70(3), 6089-6106.
Vancouver Style
Sultan S, Javaid Q, Rehman E, Alahmadi AA, Ullah N, Khan W. Incentive-driven approach for misbehavior avoidance in vehicular networks. Comput Mater Contin. 2022;70(3):6089-6106
IEEE Style
S. Sultan, Q. Javaid, E. Rehman, A.A. Alahmadi, N. Ullah, and W. Khan "Incentive-Driven Approach for Misbehavior Avoidance in Vehicular Networks," Comput. Mater. Contin., vol. 70, no. 3, pp. 6089-6106. 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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