Abstract
Recently the method called DMV (detecting malicious vehicle) for VANET is presented by many researchers in order to efficiently detect and isolate the malicious vehicle from the VANET in order to reduce the information leakage. This method is purely based on the concept of certificate authority, clustering, while lists monitoring etc. However as per the performances observed during the practical studies, these methods efficiently reduces the packet drops, however consumes more time for its processing and affecting other performance parameters like end to end delay, throughput and jitter which is the most vital for any kinds of wireless communications. Therefore to overcome these issues we have proposed method called Detection and Prevention of Misbehave/Malicious Vehicles D&PMV [1]. In our previous work we have observed that this method not affecting the performances of throughput, end to end delay and jitter. Therefore this method becomes efficient and more secured as compared to DMV. The architecture of both methods presented along with their algorithms for performance investigation. This paper emphasis on the discussion and analysis over both the methods in order to show that our proposed method gives much better performance as compared to existing methods.
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Kadam, M., Limkar, S. (2014). Performance Investigation of DMV (Detecting Malicious Vehicle) and D&PMV (Detection and Prevention of Misbehave/Malicious Vehicles): Future Road Map. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_43
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DOI: https://doi.org/10.1007/978-3-319-02931-3_43
Publisher Name: Springer, Cham
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