Sybil

Sybil attacks—where a single actor controls multiple wallets to exploit incentive structures—can undermine incentives. OpenBlock Labs employs advanced algorithms to detect and mitigate Sybil activity, ensuring the fair distribution of rewards in incentive programs like airdrops and liquidity mining campaigns.

Detection Methodology

This is a high level overview of the OpenBlock Sybil Methodology:

  1. Graph Construction: We create an Asset Transfer Graph (ATG) that helps identify clusters of wallets that may be controlled by the same actor.

  2. Behavioral Analysis: Once potential Sybil clusters are detected, we analyze the wallets in each cluster—looking for high level similarities and anomalies such as non-human type behavior.

  3. Quality Assurance: Our algorithms produce negligible false positive rate. However, to reduce it further, we apply both automated and manual QA to our results. We always prioritize precision.

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