A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks

Abstract

Vehicular ad hoc networks support a wide range of promising applications including vehicular sensing networks, which enable vehicles to cooperatively collect and transmit the aggregated traffic data for the purpose of traffic monitoring. The reported literatures mainly focus on how to achieve the data aggregation in dynamic vehicular environment, while the security issue especially on the authenticity and integrity of aggregation results receives less attention. In this study, we introduce a basic aggregation scheme which could aggregate the data and the message authentication codes by using syntactic aggregation and cryptographic aggregation. To tolerate duplicate messages and further improve the aggregation performance, we introduce a secure probabilistic data aggregation scheme based on Flajolet-Martin sketch and sketch proof technique. We also discuss the tradeoff between the bandwidth efficiency and the estimation accuracy. Extensive simulations and analysis demonstrate the efficiency and effectiveness of the proposed scheme.

PAVS: A New Privacy-Preserving Data Aggregation Scheme for Vehicle Sensing Systems

“…In Ref. [42], the proposed scheme achieves authentication and integrity of aggregation data by aggregating the data and the message authentication codes. In order to tolerate duplicate messages, they also presented a probabilistic data aggregation scheme.…”

“…In order to tolerate duplicate messages, they also presented a probabilistic data aggregation scheme. However, privacy-preservation is not considered in [42]. …”

Sensing Traffic Density Combining V2V and V2I Wireless Communications

“…VNs comprise vehicle to vehicle (V2V) [ 6 , 7 , 8 ] and vehicle to infrastructure (V2I) [ 9 , 10 ] communications and have been widely studied by academia, public institutions and the industry, especially due to the new attractive services and applications that can be provided. In particular, VNs provide a wide range of applications related to managing traffic flow [ 11 , 12 ], network security [ 13 , 14 ], health matters [ 15 ], environmental protection [ 16 ], mobile infotainment [ 17 , 18 ], etc ., although increasing drivers’ safety has been the main objective for the deployment of this kind of network [ 19 , 20 ]. The majority of these services will benefit from accurate traffic density awareness, since new adaptive dissemination mechanisms and more intelligent traffic management strategies can be used [ 21 ].…”