DocumentCode
1927872
Title
Securing Vehicular Networks Using Deterministic Schemes for Computing Trust
Author
Teler, Mihaela ; Cristea, Valentin
Author_Institution
Fac. of Automatics & Comput. Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2012
fDate
19-21 Sept. 2012
Firstpage
214
Lastpage
221
Abstract
Vehicular ad-hoc networks (VANETs) have a big potential to improve traffic conditions. However, they are exposed to security threats that influence their reliability because they use an open medium for communication. We propose a trust based security system used by drivers to receive only trustworthy information about traffic conditions. Trust indexes are computed for individual pieces of data referring to a specific event, regardless to the source of data. The drivers use the software system to evaluate the trust in the received information. Each node disseminates trust indexes to other vehicles, helping to increase the accuracy in the trustworthiness of an event. The performance was evaluated using modelling and simulation. The results show that several data falsification attacks like message alteration and message fabrication are successfully prevented and the messages from the malicious drivers are ignored if the number of attackers is less than 30% of the total number of drivers.
Keywords
telecommunication security; traffic engineering computing; trusted computing; vehicular ad hoc networks; VANET; data falsification attacks; deterministic schemes; malicious drivers; message alteration; message fabrication; security threats; traffic conditions; trust based security system; trust computing; vehicular ad-hoc networks; vehicular network security; Equations; Indexes; Mathematical model; Roads; Security; Vehicles; computing trust indexes for data; security; vehicular networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2012 4th International Conference on
Conference_Location
Bucharest
Print_ISBN
978-1-4673-2279-9
Type
conf
DOI
10.1109/iNCoS.2012.123
Filename
6337922
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