The Sybil attack, which creates a large amount of fake node identities to break the normal routing process in the peer-to-peer (P2P) networks, is the main threat faced by distributed networks. A Social-DHT protocol was developed using the properties of social relationships to mitigate Sybil attacks in distributed Hash table (DHT) networks using random walks over the social relationships. In addition, a model is given using a formalized definition to analyze the successful probability of searches. Simulations show that the Social-DHT routing table includes less than 3% of the Sybil nodes when there are 10000 attack edges and the successful search ratio reaches 99%, which is better than existing methods.
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