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Xiaodong Lin
Researcher at University of Guelph
Publications - 337
Citations - 18654
Xiaodong Lin is an academic researcher from University of Guelph. The author has contributed to research in topics: Information privacy & Authentication. The author has an hindex of 61, co-authored 315 publications receiving 15199 citations. Previous affiliations of Xiaodong Lin include University of Ontario Institute of Technology & University of Waterloo.
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Journal Article
SPRING: A Social-based Privacy-preserving Packet Forwarding Protocol for Vehicular Delay Tolerant Networks
TL;DR: Wang et al. as discussed by the authors proposed a social-based privacy-preserving packet forwarding protocol, called SPRING, for vehicular delay tolerant networks (DTNs), where RSUs deployed along the roadside can assist in packet forwarding to achieve highly reliable transmissions.
Journal ArticleDOI
A Dynamic Privacy-Preserving Key Management Scheme for Location-Based Services in VANETs
TL;DR: A privacy-preserving authentication technique is introduced that not only provides the vehicle user's anonymous authentication but enables double-registration detection as well and the proposed DIKE scheme is introduced, in terms of low key update delay and fast key update ratio.
Journal ArticleDOI
Efficient and Privacy-Preserving Carpooling Using Blockchain-Assisted Vehicular Fog Computing
TL;DR: This work proposes an efficient and privacy-preserving carpooling scheme using blockchain-assisted vehicular fog computing to support conditional privacy, one-to-many matching, destination matching, and data auditability, and authenticates users in a conditionally anonymous way.
Proceedings ArticleDOI
SPRING: A Social-based Privacy-preserving Packet Forwarding Protocol for Vehicular Delay Tolerant Networks
TL;DR: Detailed security analyses show that the proposed SPRING can achieve conditional privacy preservation and resist most attacks existing in vehicular DTNs.
Journal ArticleDOI
UDP: Usage-Based Dynamic Pricing With Privacy Preservation for Smart Grid
TL;DR: A usage-based dynamic pricing (UDP) scheme for smart grid in a community environment, which enables the electricity price to correspond to the electricity usage in real time and protects the privacy of the customers by restricting the disclosure of the individual electricity usage to the community gateways.