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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.

Papers
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Journal ArticleDOI

GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications

TL;DR: It is demonstrated that the proposed protocol cannot only guarantee the requirements of security and privacy but can also provide the desired traceability of each vehicle in the case where the ID of the message sender has to be revealed by the authority for any dispute event.
Journal ArticleDOI

Smart community: an internet of things application

TL;DR: An Internet of Things application, smart community, is introduced, which refers to a paradigmatic class of cyber-physical systems with cooperating objects (i.e., networked smart homes), and the smart community architecture is defined.
Proceedings ArticleDOI

ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications

TL;DR: An efficient conditional privacy preservation protocol in vehicular ad hoc networks (VANETs) is introduced to address the issue on anonymous authentication for safety messages with authority traceability and can provide fast anonymous authentication and privacy tracking while minimizing the required storage for short-time anonymous keys.
Journal ArticleDOI

EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

TL;DR: This paper proposes an efficient and privacy-preserving aggregation scheme, named EPPA, for smart grid communications that resists various security threats and preserve user privacy, and has significantly less computation and communication overhead than existing competing approaches.
Proceedings ArticleDOI

An Efficient Identity-Based Batch Verification Scheme for Vehicular Sensor Networks

TL;DR: An efficient batch signature verification scheme for communications between vehicles and RSUs (or termed vehicle- to-Infrastructure (V2I) communications), in which an RSU can verify multiple received signatures at the same time such that the total verification time can be dramatically reduced.