Anti-Abuse Layer

Purpose

Describes safety mechanisms used to protect the Reward Unit system from abuse and invalid traffic.

Anti-fraud Measures

The system employs:

• Bot and automation detection.
• Anomaly detection based on interaction patterns.
• Device and session fingerprinting subject to privacy constraints.
• Rate limiting for suspicious activity.

Monitoring

User sessions are scored based on:

• Interaction frequency.
• Session duration distribution.
• Device and network characteristics.

Sessions with abnormal patterns MAY be marked as low-trust.

Actions on Invalid Activity

If activity is deemed invalid, the system MAY:

• Reduce or zero out Reward Units for affected intervals.
• Flag the account for manual review.
• Temporarily or permanently block further earning.

Policies and thresholds are implementation-specific and MAY evolve based on observed attack vectors.