@inproceedings{6a890c44a0f54ca5b1ea34b5ffa35ada,
title = "Cooperative privacy preservation for internet of vehicles with mobile edge computing",
abstract = "The mobile edge computing is an attractive system paradigm to perform the local data processing and interactions at the edge of networks. The mobile edge computing enabled the internet of vehicles (MEC-IoV) is emerging as a convergence of the internet of things and mobile vehicular networks. The virtual vehicle shadow based privacy preservation scheme is proposed to address the cooperative scenarios, in which predictive location and segmented secret are jointly considered for protocol design. Meanwhile, the MinHash based similarity computing and the selective disclosure mechanism are respectively introduced for location and identity privacy preservation. The proposed scheme launches a new perspective of cooperative privacy preservation in the MEC-IoV with enhanced security requirements; it is suitable for the cooperative edge computing applications.",
keywords = "Internet of things, Internet of vehicles, Mobile edge computing, Privacy preservation, Wireless communications",
author = "Jun Luo and Hong Liu and Qianyang Cheng",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 11th International Symposium on Cyberspace Safety and Security, CSS 2019 ; Conference date: 01-12-2019 Through 03-12-2019",
year = "2019",
doi = "10.1007/978-3-030-37337-5\_24",
language = "英语",
isbn = "9783030373368",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "289--303",
editor = "Jaideep Vaidya and Xiao Zhang and Jin Li",
booktitle = "Cyberspace Safety and Security - 11th International Symposium, CSS 2019, Proceedings",
address = "德国",
}