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A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks
Joint Authors
Ota, Kaoru
Du, Suguo
Tian, Peng
Zhu, Haojin
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Du, Suguo& Tian, Peng& Ota, Kaoru& Zhu, Haojin. 2013. A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-461474
Modern Language Association (MLA)
Du, Suguo…[et al.]. A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-461474
American Medical Association (AMA)
Du, Suguo& Tian, Peng& Ota, Kaoru& Zhu, Haojin. A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-461474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461474