NDLI: <formula formulatype=inline><tex Notation=TeX>$hbox{EP}^{2}hbox{DF}$</tex></formula>: An Efficient Privacy-Preserving Data-Forwarding Scheme for Service-Oriented Vehicular Ad Hoc Networks

Content Provider	IEEE Xplore Digital Library
Author	Xiaolei Dong Lifei Wei Haojin Zhu Zhenfu Cao Licheng Wang
Copyright Year	1967
Abstract	Service-oriented vehicular ad hoc networks (VANETs) are expected to support the diverse infrastructure-based commercial services, including Internet access, real-time traffic concerns, video streaming, and content distribution. The success of service-oriented VANETs depends on the underlying communication system to enable the user devices to connect to a large number of communicating peers and even to the Internet. This poses many new research challenges, particularly on the aspects of security and user's privacy. In this paper, we propose a novel privacy-preserving data-forwarding scheme based on our proposed novel Lite-CA-based public key cryptography and on-path onion encryption technique. The proposed scheme is expected to not only thwart the traffic tracing attack at the minimized computational overhead but to provide an efficient way to relieve workload and deployment complexity of certificates as well. Performance comparisons and security analysis show that the proposed schemes are very efficient and suitable for service-oriented VANETs.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	580
Ending Page	591
Page Count	12
File Size	925358
File Format	PDF
ISSN	00189545
Volume Number	60
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encryption Vehicles Data privacy Public key cryptography service-oriented vehicular ad hoc networks (VANETs) Data forwarding Lite-CA based privacy preservation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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