A robust traffic information management system against data poisoning in vehicular networks.
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Data
2022
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Resumo
Attacks against systems supported by vehicular
networks, such as Traffic Information Systems, are more frequent
and critical because of the real-time demand and high volume
of data. Attacks that decrease data reliability, as data poisoning
– DaP, are the most damaging because they severely risk data
use. However, in general, vehicular network systems do not
implement these features. Hence, this work presents MOVE, an
efficient, secure, and VANET-based traffic management system
against DaP attacks. MOVE relies on watchdog monitoring and
relational consensus for attack detection, achieving efficient data
authenticity and high availability. The performance evaluation of
MOVE on OMNET++ has reached a detection rate of 90%, false-
negative and false-positive rates of 4% and 10%, respectively.
MOVE decreases vehicle travel time by up to 40%, and average
time on traffic jams by 35%. It increases the average speed by
12% compared to ON-DEMAND.
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VANETs security, Attack detection and prevention
Citação
PEDROSO, C. M. et al. A robust traffic information management system against data poisoning in vehicular networks. IEEE Latin America Transactions, v. 20, n. 12, p. 2421-2427, dez. 2022. Disponível em: <https://latamt.ieeer9.org/index.php/transactions/article/view/6283>. Acesso em: 06 jul. 2023.