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Impersonation Attack Detection in VANET Using Kalman Filter and Watermarking

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.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 02 Apr 2020 13:38
Last Modified: 02 Apr 2020 13:38
URI: http://norma.ncirl.ie/id/eprint/4162

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