A Novel Security Framework for Minimization of False Information Dissemination in VANETs: Bayesian Game Formulation

Basant Subba, Ayushi Singh

2021

Abstract

Information received by a vehicle in a Vehicular Ad-hoc Network (VANET) can either be regular messages from normal sender vehicles or fraudulent messages from malicious senders. Accepting malevolent messages from malicious sender would result in the receiver vehicle processing erroneous information, while discarding genuine normal messages would result in loss of valuable information. Therefore, in absence of a corroborating mechanism to verify the type of the sender vehicle (normal or malicious), the receiver vehicle is faced with a dilemma of either accepting or discarding the received information. This paper aims to address this issue by modeling the interaction between the pair of communicating vehicles in VANET as a two player incomplete information extensive form game. Various vehicular attributes such as the detection rate & false alarm rate of the IDSs operating on vehicles, reputation values of vehicles, priority levels of the messages being exchanged etc., are used to formulate the Bayesian Nash Equilibrium (BNE) based messages accepting strategies for the receiver vehicle. Empirical results show that the proposed game theory based framework significantly reduces the dissemination of false information in the vehicular network by enforcing the malicious sender vehicles (attackers) into adopting a constrained set of less malevolent strategies.

Paper Citation

in Harvard Style

Subba B. and Singh A. (2021). A Novel Security Framework for Minimization of False Information Dissemination in VANETs: Bayesian Game Formulation. In Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-524-1, pages 452-459. DOI: 10.5220/0010540904520459

in Bibtex Style

@conference{secrypt21,
author={Basant Subba and Ayushi Singh},
title={A Novel Security Framework for Minimization of False Information Dissemination in VANETs: Bayesian Game Formulation},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2021},
pages={452-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010540904520459},
isbn={978-989-758-524-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - A Novel Security Framework for Minimization of False Information Dissemination in VANETs: Bayesian Game Formulation
SN - 978-989-758-524-1
AU - Subba B.
AU - Singh A.
PY - 2021
SP - 452
EP - 459
DO - 10.5220/0010540904520459