Sybil Attack Mitigation

Sybil Attack Mitigation is a peer-to-peer systems mechanism designed to prevent malicious entities from subverting network trust by creating and controlling a large number of pseudonymous identities, thereby undermining the integrity of decentralized consensus or reputation-based decision-making.

285

Publications

16.6K

Citations

799

Authors

357

Institutions

Publications per year

2017–2026

123

Authors

799

  1. PM
    Prateek Mittal

    Princeton University, United States

    13 publications · 788 citations

    12

    h-index

  2. AP
    Ansley Post

    Max Planck Institute for Software Systems, Germany

    6 publications · 614 citations

    6

    h-index

  3. NB
    Nikita Borisov

    University of Illinois Urbana-Champaign, United States

    6 publications · 305 citations

    6

    h-index

  4. AM
    Alan Mislove

    Northeastern University, United States

    6 publications · 614 citations

    6

    h-index

  5. NZ
    Neil Zhenqiang Gong

    Duke University, United States

    6 publications · 515 citations

    6

    h-index

1–5 of 799

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 777 citations

    12

    h-index

  2. IEEE Access

    10 publications · 420 citations

    10

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 846 citations

    6

    h-index

  4. Security and Communication Networks

    6 publications · 118 citations

    6

    h-index

  5. Sensors

    5 publications · 297 citations

    5

    h-index

1–5