4.7 Article

Communication-Efficient Private Information Acquisition: Multicasting via Crowding

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 70, Issue 7, Pages 7199-7204

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2021.3083603

Keywords

Servers; Privacy; Data privacy; Wireless communication; Uncertainty; Multicast communication; Voting; Private information retrieval; crowded information acquisition; communication efficiency

Funding

  1. Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) Support Program Grant [IITP-2020-0-01787]
  2. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2021R1A2C2003230]
  3. National Research Foundation of Korea [2021R1A2C2003230] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This paper introduces a novel communication-efficient and privacy-protecting framework called crowded information acquisition (CIA) for protecting clients' privacy when requesting datasets from data servers. The results show that a large number of clients demanding private services can enhance privacy protection, provide low latency services, and generate a small amount of traffic, contrary to conventional beliefs.
This paper focuses on the way to protect privacy of clients requesting datasets stored in data servers while keeping communication efficiency. To this end, we introduce a novel communication-efficient and privacy protecting framework termed crowded information acquisition (CIA), well suited to a large number of clients scenario. We investigate the CIA under various conditions addressing possible communication scenarios. Contrary to the conventional belief, the results claim that a large number of clients demanding private services can enhance the privacy protection while providing low latency services and generating a small amount of traffic.

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