Abstract
In this paper, we are focusing on the eavesdropping issue in Wireless Access in Vehicular Environments (WAVE) based vehicular networks. We proposed a flexible interval intermittent jamming (IJ) approach against the eavesdropper. This approach makes further improvement in reducing the energy cost of the existing IJ scheme while preventing eavesdropper sniffing acute information. We conducted a numerical analysis to explore and performed a simulation to compare the performance of our flexible interval IJ with the existing IJ scheme. The results show that our strategy is nearly saving 10% energy and guarantees the same security level as IJ can provide.
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Li, H., Xing, X. (2020). Flexible Interval Intermittent Jamming Against Eavesdropping in WAVE Based Vehicular Networks. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_5
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