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Blockchain and blockchain-based decentralized applications are attractingincreasing attentions recently. In public blockchain systems, users usuallyconnect to third-party peers or run a peer to join the P2P blockchain network.However, connecting to unreliable blockchain peers will make users wasteresources and even lose millions of dollars of cryptocurrencies. In order toselect the reliable blockchain peers, it is urgently needed to evaluate andpredict the reliability of them. Faced with this problem, we propose H-BRP,Hybrid Blockchain Reliability Prediction model to extract the blockchainreliability factors then make personalized prediction for each user.Large-scale real-world experiments are conducted on 100 blockchain requestersand 200 blockchain peers. The implement and dataset of 2,000,000 test cases arereleased. The experimental results show that the proposed model obtains betteraccuracy than other approaches.

Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction