Sybil Attack Prediction on Vehicle Network Using Deep Learning
نویسندگان
چکیده
Vehicular Ad Hoc Network (VANET) or vehicle network is a technology developed for autonomous vehicles in Intelligent Transportation Systems (ITS). The communication system of VANET using wireless that potentially being attacked. Sybil attack one the attacks occur by broadcasting spurious information to nodes and could cause crippled network. strikes camouflaging themselves as node providing false nearby nodes. This study conducted predict analyzing pattern deep learning algorithm. variables exerted this research are time, location, traffic density. By implementing algorithm enacting combining several variables, such position, density, it reaches 94% detected attacks.
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ژورنال
عنوان ژورنال: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
سال: 2022
ISSN: ['2580-0760']
DOI: https://doi.org/10.29207/resti.v6i3.4089