An Efficient Conditional Privacy-Preserving Authentication Scheme for Vehicular Sensor Networks Without Pairings

By Nai-Wei Lo, Jia-Lun Tsai. IEEE transactions on intelligent transportation systems (Print), 2016

303 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ec3b5806e23275638664e3811e01769bc6052092

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Feng Hu
2. Yanchao Zhao
3. Xiang Cheng
4. Jiale Zhang
5. Bing Chen

Citations in the corpus

• Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “In 2016, Lo and Tsai [127] proposed a novel conditional privacy-preserving authentication scheme based on the batch ID-based signature to support secure communication and driver privacy for vehicles in a Vehicular Sensor Network (VSN).”