Cited by 19Cognitive Radio Networks and Spectrum SensingPrivacy-Preserving Technologies in DataWireless Communication Security Techniques

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Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey

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Ul Hassan, Muneeb, Rehmani, Mubashir Husain, Rehan, Maaz, Chen, Jinjun·2022·Cognitive Computation

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  • Cognitive radio integration risks exposing EV mobility trends through raw spectrum usage data.

    “Cognitive radio integration, though promising for dynamic spectrum allocation, risks exposing EV mobility trends through raw spectrum usage data [140].”

    From Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction (2025) · cites this paper as [140]

    The ‘Cognitive Radio Based Vehicular Networks’ section (p. 23) says CR-based vehicular networks face privacy risks from real-time reporting and that sensing and analysis can expose vehicle locations. The Introduction (p. 1) supports the dynamic spectrum-allocation benefit. The cited passages do not specifically address electric vehicles, mobility trends, or exposure through raw spectrum-usage data. (LLM, conf=0.86)

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Metadata

Authors
Ul Hassan, M., Rehmani, M. H., Rehan, M., & Chen, J.
Affiliations
  • Munster Technological University (IE)
  • COMSATS University Islamabad (PK)
  • Swinburne University of Technology (AU)
Corresponding author
  • Rehmani, Mubashir Husain
  • Rehan, Maaz
  • Chen, Jinjun
Venue
Cognitive Computation
Published
2022-01-28
Volume
14
Issue
2
Pages
475-510
ISSN
  • 1866-9956 (ISSN-L)
  • 1866-9964
OpenAlex
W4220757524
Cited by
19
References
5
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 3
FWCI
1.78
Type
journal article
Language
en
Open access
Locations
  • Cognitive Computation (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
Keywords
differential privacy, cognitive radio networks, privacy preservation, privacy leakage, spectrum sharing, dynamic spectrum access, personally identifiable information, spectrum sensing, privacy-preserving data sharing

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