Concepedia

Sybil Attack Detection

Sybil Attack Detection is a computational method designed to identify malicious entities in recommendation systems that create multiple fake identities to manipulate trust assessments, distinguished from other security measures by its specific focus on detecting identity-based attacks originating from Sybil nodes.

399

Publications

22.6K

Citations

1.1K

Authors

473

Institutions

Publications per year

2017–2026

188

Parents

Publications

399

The sybil attack in sensor networks

James Newsome, Elaine Shi, Dawn Song et al. · 2004 · 1.3K citations

, , +17

BotOrNot

2016 · 759 citations · Full text

, , +13

CrowdBC: A Blockchain-Based Decentralized Framework for Crowdsourcing

Ming Li, Jian Weng, Anjia Yang et al. · IEEE Transactions on Parallel and Distributed Systems · 2018 · 517 citations

, , +14

Aiding the detection of fake accounts in large scale social online services

Qiang Cao, Michael Sirivianos, Xiaowei Yang et al. · 2012 · 443 citations

, , +12

SybilInfer: Detecting Sybil Nodes using Social Networks.

George Danezis, Prateek Mittal · 2009 · 410 citations

, , +8

1–5 of 399

Authors

1.1K

  1. BY
    Ben Y. Zhao

    University of California, Santa Barbara, United States

    11 publications · 1.2K citations

    11

    h-index

  2. NZ
    Neil Zhenqiang Gong

    Duke University, United States

    8 publications · 691 citations

    8

    h-index

  3. CW
    Christo Wilson

    Northeastern University, United States

    7 publications · 998 citations

    7

    h-index

  4. PM
    Prateek Mittal

    Princeton University, United States

    7 publications · 833 citations

    7

    h-index

  5. HZ
    Hai-Tao Zheng

    University of California, Santa Barbara, United States

    6 publications · 637 citations

    6

    h-index

1–5 of 1.1K

Institutions

473

  1. University of California, Santa Barbara

    Santa Barbara, United States

    13 h-index

    43 publications

    4.8K citations

  2. Duke University

    Durham, United States

    7 h-index

    14 publications

    1.9K citations

  3. Peking University

    Beijing, China

    7 h-index

    22 publications

    2.1K citations

  4. King Saud University

    Riyadh, Saudi Arabia

    7 h-index

    34 publications

    1.9K citations

  5. Iowa State University

    Ames, United States

    6 h-index

    15 publications

    1.4K citations

  6. Northeastern University

    Boston, United States

    6 h-index

    6 publications

    857 citations

  7. Beijing University of Posts and Telecommunications

    Beijing, China

    6 h-index

    15 publications

    1.2K citations

  8. Max Planck Institute for Software Systems

    Saarbrücken, Germany

    6 h-index

    20 publications

    1.9K citations

1–8 of 473

Venues

  1. IEEE Access

    13 publications · 630 citations

    12

    h-index

  2. IEEE Internet of Things Journal

    10 publications · 1.2K citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 804 citations

    10

    h-index

  4. Wireless Personal Communications

    8 publications · 220 citations

    8

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 846 citations

    6

    h-index

1–5