EdgeSybil Detection
Chaos Labs introduces an innovative sybil detection platform, designed to promote fair and genuine incentive distribution
Get startedGet startedChaos Labs Sybil Detection Module
Features
Our platform ensures transparency and integrity in incentive distribution.
Trade Graph Analysis
Identifies cyclical trading patterns using graph algorithms, pinpointing collusion with high precision.
Rigorous Detection
Employs strict criteria to detect sybils by analyzing ownership changes and trade volume.
Algorithmic Insights
Utilizes advanced algorithms for detecting potential sybils, enhancing scrutiny on suspicious activities.
Optimized Parameters
Balances detection efficiency and false positive minimization, ensuring a fair trading environment.
The Sybil analysis work performed by Chaos played a key role in our token distribution methodoloy. They were very forthcoming when we probed for information - we were able to sit down with one of their engineers and talk through how they came to their conclusions. All the supporting info (incl cluster visualizations) was very helpful when analyzing user's disputes of the sybil detection.
Jozef Vogel
COO @ ether.fi