Haeri Kim1, Jong-Moon Chung1,2,*
CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3589-3605, 2022, DOI:10.32604/cmc.2022.023073
Abstract The development of Vehicular Ad-hoc Network (VANET) technology is helping Intelligent Transportation System (ITS) services to become a reality. Vehicles can use VANETs to communicate safety messages on the road (while driving) and can inform their location and share road condition information in real-time. However, intentional and unintentional (e.g., packet/frame collision) wireless signal jamming can occur, which will degrade the quality of communication over the channel, preventing the reception of safety messages, and thereby posing a safety hazard to the vehicle's passengers. In this paper, VANET jamming detection applying Support Vector Machine (SVM) machine learning technology is used to classify… More >
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