Sybil Resistance

Sybil attacks occur when a single entity creates multiple identities to manipulate reputation systems or gain unfair advantages. Traditional identity systems attempt to mitigate Sybil attacks through strict identity verification or centralized controls. However, these approaches often introduce friction that reduces participation. ForU instead adopts a behavior-based Sybil resistance model. Rather than relying solely on identity verification, the system evaluates patterns of activity across the Sacred Timeline. Signals used for Sybil detection may include:

• account creation patterns

• wallet transaction history

• behavioral consistency across campaigns

• community participation patterns

• cross-platform identity signals

Because reputation accumulates over time, newly created identities cannot easily replicate the behavioral history required to achieve high reputation scores. This temporal model significantly increases the cost of Sybil attacks.

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