Evolutionary Equilibrium of Mining Pools Under DDoS Attack in Blockchain System

Consensus algorithm is widely used in blockchain system, which can solve the problems of fault tolerance, consensus and security. Proof-of-work (PoW) algorithm is one of the most widely used consensus algorithms to ensure the security and consensus on transaction data of the Bitcoin system. However, as an important part of the Bitcoin system, mining pool is often subjected to distributed denial of service (DDoS) attack by malicious nodes at the network layer, which makes it suffer significant economic losses. In order to reduce the loss of mining pools caused by DDoS attack when the Bitcoin system carries out data consensus of PoW, this paper proposes an evolutionary game model based on mining pools. This model studies how to choose effective mining strategy to get the best profit in the face of DDoS attack. At the same time, we also set up the replication dynamic equation to analyze and solve the game model. The experimental results show that honest mining has the best profit under the condition of poor network for the mining pools. In the case of better network condition, the mining pools can get the best reward by attacking each other. At the same time, the experimental results are consistent with the theoretical conclusions, which proves that our model is effective.