Cited by 159Privacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionInternet Traffic Analysis and Secure E-voting

Efficient location privacy algorithm for Internet of Things (IoT) services and applications

Open access
Sun, Gang, Chang, Victor, Ramachandran, Muthu, Sun, Zhili, Li, Gangmin, Yu, Hongfang, Liao, Dan·2017·Journal of Network and Computer Applications

Integrity signals

Registry

Crossref · 10.1016/j.jnca.2016.10.011

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Sensor data can lead to unexpected inferences about individuals and their behavior.

    “Several studies [9, 12, 40] have recently highlighted how sensor data can lead to unexpected inferences about individuals and their behavior.”

    From IoT Expunge: Implementing Verifiable Retention of IoT Data (2020) · cites this paper as [40]

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Authors
Sun, G., Chang, V., Ramachandran, M., Sun, Z., Li, G., Yu, H., & Liao, D.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • Xi’an Jiaotong-Liverpool University (CN)
  • Leeds Beckett University (GB)
  • University of Surrey (GB)
Corresponding author
Liao, Dan
Venue
Journal of Network and Computer Applications
Publisher
Elsevier BV
Published
2017-07
Volume
89
Pages
3-13
ISSN
1084-8045 (ISSN-L)
OpenAlex
W2537158000
Cited by
159
References
0
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 13 · 2022: 18 · 2021: 19 · 2020: 30 · 2019: 29 · 2018: 28 · 2017: 7 · 2016: 3
FWCI
18.39
Type
journal article
Language
en
Locations
  • Journal of Network and Computer Applications (publishedVersion)
  • Leeds Beckett Repository (Leeds Beckett University) (submittedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
  • TeesRep (Teesside University) (submittedVersion, cc-by-nc-nd)
  • Teesside University Research Portal (Teesside University) (submittedVersion, cc-by-nc-nd)
Funders
  • Natural Science Foundation of China (61571098)
  • China Postdoctoral Science Foundation (2015M570778)
  • Guangdong Science and Technology Foundation (2013A040600001, 2013B090200004, 2014B090901007, 2015A040404001, 2013B040300001)
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
location privacy, location-based services, Internet of Things, privacy-preserving location tracking, malicious server attacks, privacy-preserving computation

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