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Jagadeesan, Dinesh Kumar (2019) Impersonation Attack Detection in VANET Using Kalman Filter and Watermarking. Masters thesis, Dublin, National College of Ireland.
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Abstract
VANET is a Vehicular ad-hoc Network where short rage network is formed among the VANET node. VANET nodes is to connect and share messages with other network nodes in infrastructure or infrastructure less network. Due to absence of secure infrastructure, VANET is prone to wide-ranging attacks. In Impersonation attack, attacker can easily capture the origin node. Attacker breach will impact on integrity, confidentiality and authenticity. In this paper, establishing a secure connection in VANET using Kalman filter against impersonation attack by detecting accurate position of the legitimate node. Watermarking is used to secure the data during the communication in the network. The proposed scheme is analyzed using metrices like node detection, SNR, PDR, delay. Once the false node is found, it will be isolated from other networks in the environment. These protocol aims to protect VANET against impersonation attack.
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