A Robust Traffic Information Management System Against Data Poisoning in Vehicular Networks



Robust traffic management system, VANETs security, Attack detection and prevention


Due to the real-time demand and the amount of processed data, network security attacks are frequent concerns to the systems inspired by vehicular networks. Attacks that act to decrease data exchange reliability, such as Data Poisoning (DaP)attacks, are one of the most damaging. Although existing mechanisms provide data validation and collaborative threats detection, most vehicular network systems do not implement these features. This work presents MOVE, an efficient, secure, and VANET-based traffic management system against DaP attacks. MOVE employs watchdog monitoring along with relational consensus for network attacks detection, aiming for data authenticity and availability. MOVE’s performance was evaluated on OMNET++, reaching 90% of detection rate, 4% of false-negative, and 10% of false-positive. Further, MOVE decreases the vehicles’ travel time by up to 40%, average time lost due to traffic jams by 35%, and MOVE increases the average speed by 12% comparing to ON-DEMAND.


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Author Biographies

Carlos Pedroso, Federal University of Paraná (UFPR)

Is currently, a Ph.D. student at the Federal University of Paraná (UFPR). Bachelor in Computer Networks by the Faculty of Technology of São Paulo (FATEC) (2016). Master in Informatics from Federal University of Paraná (UFPR) (2019). Has experience in Computer Science, with emphasis on Hardware, Computer networks, Wireless Sensor Networks and Internet of Things, acting mainly on the following topics: IoT and Security. Member of the Brazilian Computer Society (SBC) and IEEE Communication Society Communication (ComSoc).

Thiago S. Gomides

Is a Visiting Researcher in the Department of Computer Science at Brock University, Canada. He received his Master in Computer Science degree (2020) and Bachelor in Computer Science degree (2017) from the Federal University of São João Del Rei, Brazil. His research topics include urban mobility, vehicular networks, and data communication. He has served as a visiting researcher through the Emerging Leaders in the Americas Program - ELAP (2019-2020) in the Department of Computer Science at Brock University, Canada.

Daniel L. Guidoni, Federal University of Ouro Preto (UFOP)

Received his Ph.D. degree in computer science from the Federal University of Minas Gerais, Belo Horizonte, Brazil, in 2011. He is currently an Associate Professor with the Federal University of São João del-Rei, Minas Gerais, Brazil. His research interests include wireless networks, vehicular networks, IoT, Smart Cities, and communication protocols.

Michele Nogueira , Department of Computer Science at Federal University of Minas Gerais (UFMG)

Is a professor of computer science at Federal University of Minas Gerais, where she has been since 2010. She received her doctorate in computer science from the University Pierre et Marie Curie – Sorbonne Universites, Laboratoire d’Informatique de Paris VI (LIP6) in 2009. She was a Visiting Researcher at Georgia Institute Technology (GeorgiaTech) and a Visiting Professor at University Paul Sabatier in 2009 and 2013, respectively. Her research interests include wireless networks, security and dependability.

Aldri L. Santos , Department of Computer Science at Federal University of Minas Gerais (UFMG)

is professor of the Department of Computer Science at Federal University of Minas Gerais (UFMG). Aldri is PhD in Computer Science from the Federal University of Minas Gerais, Master in Informatics and Bachelor of Computer Science at UFPR. Aldri working in the following research areas: network management, fault tolerance, security, data dissemination, wireless ad hoc networks and sensor networks. He is leader of the research group (Wireless and Advanced Networks).


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How to Cite

Pedroso, C., Gomides, T. S. ., Guidoni, D. L. ., Nogueira , M., & Santos , A. L. . (2022). A Robust Traffic Information Management System Against Data Poisoning in Vehicular Networks. IEEE Latin America Transactions, 20(12), 2421–2428. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6283