International Journal of Research in Computer Sciences and Innovative Studies
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Vol. 1 No. 1 (2026): October
Articles

Data-Driven Misbehavior Detection and Safety Systems in Vehicular Ad Hoc Networks with Optimized RSU Deployment

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  • Dr. Ananya Verma,
  • Dr. Rakesh Iyer

Published 2026-10-08

Keywords

  • Array

Abstract

This paper examines key challenges and solutions in Vehicular Ad Hoc Networks (VANETs), with particular emphasis on misbehavior detection and efficient Roadside Unit (RSU) management. It highlights the importance of reliable information exchange among vehicles to support safety and traffic-related services. A data-driven approach is proposed for identifying misbehavior within the network, focusing on the validation of transmitted data rather than categorizing nodes as malicious or trustworthy. The method incorporates the use of pseudonyms to preserve user privacy and is designed to withstand security threats such as Sybil attacks. Instead of completely removing suspicious nodes, the approach introduces a penalty-based system where fines are imposed based on the frequency of inaccurate message transmission. The study also explores various VANET applications, especially those related to road safety, including accident notifications and hazard warnings. Performance evaluation and experimental analysis indicate that the proposed method effectively enhances data reliability and network safety while maintaining user privacy.

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References

  1. J. L. Abad Peiro, N. Asokan, M. Steiner, and M. Waidner (1997). Creating a general payment service. 72-88 in IBM Systems Journal, 37(1).
  2. Asokan (1994). In a mobile computing environment, anonymity is important. In Mobile Computing Systems and Applications Workshop (pp. 200-2004).
  3. Bella, G., and S. Bistarelli (2005). Security protocols require information assurance. Computers and Security, vol. 24(4), pp. 322-333.
  4. Bellare (2006). New NMAC and HMAC proofs: security without collision resistance. Crypto 2006, the 26th annual international cryptology conference (pg. 602-619).
  5. M. Bellare, J. Garay, R. Hauser, A. Herzberg, H. Krawczyk, M. Steiner, G. Tsudik, Els. Van Herreweghen, and M. Waidner. The iKP secure electronic payment system was designed, implemented, and deployed. 18(4), 611-627, IEEE Journal on Selected Areas in Communication.
  6. Certicom (2003a). Cryptography's next generation. Certicom's Bulletin of Security and Cryptography, 1 (1), Code and Cipher.
  7. Car2Car Communication Consortium. C2C-CC system overview (Technical Report version 1.0). Consortium for Car-to-Car Communication.
  8. S. Chari, P. Kermani, S. Smith, and L. Tassiulas (2001). A usage-based taxonomy of security problems in Mcommerce. Agents of e-commerce (pg. 264-282).
  9. Hassinen, K. Hyppönen, and K. Haatajam (2006). A mobile payment system that is open and PKIbased. International conference on Emerging Trends in Information and Communication Security (ETRICS' 2006), pp. 86-100.
  10. Hu, Z., Liu, Y., Hu, X., and Li, J. In a mobile data network, anonymous micropayments authentication (AMA) is used. IEEE INFOCOM, 23rd Annual Joint Conference of the IEEE Computer and Communications Societies (pp. 4653).
  11. Xiaoya Xu, Yunpeng Wang, Pengcheng Wang, "Comprehensive Review on Misbehavior Detection for Vehicular Ad Hoc Networks", Journal of Advanced Transportation, vol. 2022, Article ID 4725805, 2022.
  12. A. Sharma and A. Jaekel, "Machine Learning Based Misbehaviour Detection in VANET Using Consecutive BSM Approach," in IEEE Open Journal of Vehicular Technology, vol. 3, pp. 1-14, 2022.
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