Abstract
In vehicular ad hoc network (VANET), which is considered as a type of mobile ad hoc network (MANET), communication occurs between neighbor vehicles and also roadside equipment and vehicles. Due to the characteristics of VANET, there are chances of a number possible attack in this network. In this paper, an anomaly detection system that uses clustering and fuzzy set theory to defend the Denial of Service (DoS) attack is presented. Results of simulation represent that the proposed algorithm arrives to the high detection rate.
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Kuchaki Rafsanjani, M., Fatemidokht, H., Balas, V.E., Batth, R.S. (2021). An Anomaly Detection System Based on Clustering and Fuzzy Set Theory in VANETs. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1222. Springer, Cham. https://doi.org/10.1007/978-3-030-52190-5_28
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DOI: https://doi.org/10.1007/978-3-030-52190-5_28
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