Project parties can adopt advanced blockchain - based identity verification systems, such as zero - knowledge proofs. These proofs can verify a user's identity without revealing unnecessary personal information, ensuring that each real - world individual has only one eligible wallet for the airdrop. Another approach is to analyze the network patterns of wallet addresses. For instance, if multiple wallets share the same IP address or have highly synchronized transaction timings, it could be flagged as a potential Sybil attack. Machine learning algorithms can also be used to detect abnormal behavior patterns among wallets, like a sudden influx of new wallets with identical, minimal interactions.