StarkNet combats Sybil attacks using behavioral analysis, wallet clustering, and bot detection models. They assess transaction patterns, wallet age, bridging behavior, and interaction diversity to distinguish real users from farming wallets. Wallets that mimic organic use across multiple StarkNet dApps over time are more likely to pass filters. Tools like Proof of Humanity, GitHub verification, or POAP ownership may be used to strengthen identity uniqueness. Additionally, wallet volume and centralized funding sources are scrutinized to flag potential Sybil rings. Transparency and fairness are key to protecting airdrop integrity.