Crowdsourcing Privacy Protocols

Crowdsourcing Privacy Protocols is a privacy-preserving protocol framework designed to protect participant identity and data confidentiality in crowdsourcing systems by leveraging collaborative anonymization techniques, random routing, and trustless aggregation to prevent information leakage during task execution and response collection.

25

Publications

1.4K

Citations

101

Authors

63

Institutions

Publications per year

2017–2026

17

Authors

101

  1. XT
    Xiangrong Tong

    Yantai University, China

    3 publications · 417 citations

    3

    h-index

  2. ZC
    Zhipeng Cai

    Georgia State University, United States

    3 publications · 417 citations

    3

    h-index

  3. XJ
    Xiaohua Jia

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 78 citations

    3

    h-index

  4. LH
    Liusheng Huang

    University of Science and Technology of China, China

    2 publications · 88 citations

    2

    h-index

  5. YW
    Yingjie Wang

    Yantai University, China

    2 publications · 334 citations

    2

    h-index

1–5 of 101

Venues

  1. Computer Networks

    4 publications · 423 citations

    4

    h-index

  2. IEEE Internet of Things Journal

    3 publications · 102 citations

    3

    h-index

  3. 2015 IEEE Global Communications Conference (GLOBECOM)

    Conference · 2 publications · 88 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5