Game-theoretic Modeling and Stability Analysis of Blockchain Channels

The emergence of channel technology reduces the transaction verification time of blockchains. A channel with a stable state is helpful for completing transactions successfully. Under the assumption of node bounded rationality and replication dynamics of an evolutionary process, this paper presents a dynamic evolutionary game model based on node behaviors in blockchain channels. The model considers the cost of attack, attack success rate, defense, cooperation, and noncooperation strategies during the game process. The defense strategy can help nodes resist different attacks. Nodes can dynamically adjust their own strategies according to different behaviors of attackers to achieve effective defense. The experimental results show that the proposed method is better than a lightning network channel in terms of transaction success ratio.