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Cited by 3Privacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionInternet Traffic Analysis and Secure E-voting

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Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles

Duan, Yicun, Liu, Junyu, Ming, Xiaoxing, Jin, Wangkai, Song, Zilin, Peng, Xiangjun·2023·Lecture Notes in Computer Science
DOI 10.1007/978-3-031-35678-0_3
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Research works printed but not linked: 38

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Metadata

Authors
Duan, Y., Liu, J., Ming, X., Jin, W., Song, Z., & Peng, X.
Corresponding author
Duan, Yicun
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer Nature Switzerland
Published
2023
Pages
31-50
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-031-35678-0_3
OpenAlex
W4383649207
Cited by
3
References
0
Citations by year
2023: 3
FWCI
0.53
Type
conference paper
Language
en
Open access
closed
Licence
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
Keywords
Internet of Vehicles, differential privacy, privacy-preserving data sharing, high utility itemset mining, human-vehicle interaction, privacy-utility trade-off

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