SybilLimit: A Near-Optimal Social Network Defense Against Sybil Attacks
Open-access distributed systems such as peer-to-peer systems are particularly vulnerable to sybil attacks, where a malicious user creates multiple fake identities (called sybil nodes). Without a trusted central authority that can tie identities to real ...
An analysis of social network-based Sybil defenses | Request PDF
Request PDF | An analysis of social network-based Sybil defenses | Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A... | Find, read and cite all the research you need on ResearchGate
An analysis of social network-based Sybil defenses
Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been proposed, but they differ greatly in the algorithms they use and in the ...
(PDF) Canal: Scaling Social Network-Based Sybil Tolerance Schemes
PDF | There has been a flurry of research on leveraging social networks to defend against multiple identity, or Sybil, attacks. A series of recent works... | Find, read and cite all the research you need on ResearchGate
softer computing club
a cozy community of humans and computers on the planet earth
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks
Decentralized distributed systems such as peer-to-peer systems are particularly vulnerable to sybil attacks, where a malicious user pretends to have multiple identities (called sybil nodes). Without a trusted central authority, defending against sybil attacks is quite challenging. Among the small number of decentralized approaches, our recent SybilGuard protocol [H. Yu et al., 2006] leverages a key insight on social networks to bound the number of sybil nodes accepted. Although its direction is promising, SybilGuard can allow a large number of sybil nodes to be accepted. Furthermore, SybilGuard assumes that social networks are fast mixing, which has never been confirmed in the real world. This paper presents the novel SybilLimit protocol that leverages the same insight as SybilGuard but offers dramatically improved and near-optimal guarantees. The number of sybil nodes accepted is reduced by a factor of ominus(radicn), or around 200 times in our experiments for a million-node system. We further prove that SybilLimit's guarantee is at most a log n factor away from optimal, when considering approaches based on fast-mixing social networks. Finally, based on three large-scale real-world social networks, we provide the first evidence that real-world social networks are indeed fast mixing. This validates the fundamental assumption behind SybilLimit's and SybilGuard's approach.
The Server Called Paranoia: Defend Autistici/Inventati
For twenty-five years, an Italian hacker collective has built communications infrastructure designed to survive censorship, surveillance and police raids. On August 26, the United States designated it a terrorist organization. On September 25, the wind-down period ends.
The Server Called Paranoia: Defend Autistici/Inventati Before September 25
Bastyon: First Fully Decentralized Social Network on Blockchain
A Revolutionary anti-censorship decentralized publishing and social platform. Based on the blockchain technology, it runs on a set of computers around the world, not controlled by any single entity. Self-policed by users with good reputation where nobody records your keystrokes, viewing habits or searches.
Sybil Detection using Graph Neural Networks
Online social networks have become a central part of modern digital life, connecting billions of users worldwide. However, their open nature and vast scale make them vulnerable to various security threats, with Sybil attacks being a prevalent and challenging attack to detect. In Sybil attacks, malicious entities create fake accounts to manipulate the network, spread misinformation, or gain undue influence. Thus, detecting Sybil accounts is crucial for maintaining the integrity and trustworthiness of social networks. Effective Sybil detection can prevent the spread of fake news, protect users from scams, and ensure a fair distribution of resources and influence within the network. However, as attackers become more sophisticated, traditional detection methods increasingly fail to perform their task.
The Server Called Paranoia: Defend Autistici/Inventati Before September 25 – Sabot Media
For twenty-five years, an Italian hacker collective has built communications infrastructure designed to survive censorship, surveillance and police raids. On August 26, the United States designated it a terrorist organization. On September 25, the wind-down period ends.
Digital Socialism?
What opportunities does the new feedback infrastructure of data capitalism offer for non-market forms of social coordination? Hayek and the Calculation Debate revisited in the age of big data.
W Social uncovered: the reality behind the hype
An article dispelling myths about W Social, the new European platform that aims to rival X: it is a fork of Bluesky that shares many similarities with Eurosky and requires government ID to sign up.
09.06.2026 - release 1 of 3 Sovereign social infrastructure, one layer at a time. We’re now mirroring the did:plc directory - where identities live - on European infrastructure: plc.eurosky.network Decentralisation means not depending on a single directory.
