Sybil Attack Prediction on Vehicle Network Using Deep Learning

Sybil Attack Prediction on Vehicle Network Using Deep Learning

VANET, Intelligent Transportation System (ITS), Sybil Attack, Deep learning

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 is using a wireless network that is potentially being
attacked. The Sybil attack is one of the attacks that occur by broadcasting spurious information to the nodes in the network
and could cause a crippled network. The Sybil strikes the network by camouflaging themselves as a node and providing false
information to nearby nodes. This study is conducted to predict the Sybil attack by analyzing the attack pattern using a deep
learning algorithm. The variables exerted in this research are time, location, and traffic density. By implementing a deep
learning algorithm enacting the Sybil attack pattern and combining several variables, such as time, position, and traffic density,
it reaches 94% of detected Sybil attacks

Zulfahmi Helmi,
2Ramzi Adriman,
3Teuku Yuliar Arif,
4Hubbul Walidainy,
5Maya Fitria*

Universitas Syiah Kuala

: 15-07-2022

Fajar Bagus W

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