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
Parents
285
The sybil attack in sensor networks
James Newsome, Elaine Shi, Dawn Song et al. · 2004 · 1.3K citations
Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons et al. · ACM SIGCOMM Computer Communication Review · 2006 · 749 citations
Sybil Attacks and Their Defenses in the Internet of Things
Kuan Zhang, Xiaohui Liang, Rongxing Lu et al. · IEEE Internet of Things Journal · 2014 · 406 citations
1–5 of 285
799
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1–5 of 799
357
Max Planck Institute for Software Systems
Saarbrücken, Germany
8 h-index
25 publications
1.9K citations
Intel (United States)
Santa Clara, United States
8 h-index
13 publications
3.6K citations

King Saud University
Riyadh, Saudi Arabia
7 h-index
30 publications
1.6K citations
Arizona State University
Tempe, United States
7 h-index
13 publications
310 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
10 publications
6.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
14 publications
519 citations
University of California, Berkeley
Berkeley, United States
6 h-index
16 publications
1.6K citations
Princeton University
Princeton, United States
6 h-index
14 publications
759 citations
1–8 of 357
Repository · 15 publications · 777 citations
12
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10 publications · 420 citations
10
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TPDS · 6 publications · 846 citations
6
h-index
6 publications · 118 citations
6
h-index
5 publications · 297 citations
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