Abstract | ||
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Driving behaviors are highly relevant to automotive statuses and on-board safety, which offer compelling shreds of evidence for mobility as a service (MaaS) providers to develop personalized rental prices and insurance products. However, the direct dissemination of driving behaviors may lead to violations of identity and location privacy. In this paper, our proposed mechanism first achieves the ve... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TVT.2021.3064834 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Vehicles,Blockchain,History,Privacy,Data aggregation,Computational complexity,Monitoring | Journal | 70 |
Issue | ISSN | Citations |
4 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qinglei Kong | 1 | 6 | 1.45 |
Rongxing Lu | 2 | 5091 | 301.87 |
Feng Yin | 3 | 0 | 0.34 |
Shuguang Cui | 4 | 521 | 54.46 |