Blockchain Security Situational Awareness Method Based on

It is a difficult problem to perceive comprehensively and accurately the eclipse attack of each node in the blockchain network. For this problem, this paper proposes a blockchain security situational awareness method based on the Markov attack graph and game model. The method combines the characteristics of each node of the blockchain network and the eclipse attack to establish a Markov attack graph model, then quantifies the model to calculate the conversion probability of each attack path, and selects the attack path with higher probability to conduct a multi-stage attack and defense game and calculates the maximum objective function value of both sides. By analyzing these function values, the security situation awareness of the entire blockchain network node is completed, and the purpose of predicting the future security situation and system maintenance is achieved. The experimental comparison shows that the model method not only has a low number of successful intrusions but also has the advantage of ensuring the integrity of the system.Key words: Markov attack graph; Game theory; Blockchain; Eclipse attack; Security situation