Privacy Disclosure Risk Assessment Method Based on Blockchain Technology Architecture

The widespread application of blockchain technology has led to the increasingly serious problem of privacy disclosure.To effectively assess this risk from the perspective of blockchain technology architecture, this study proposed a method for quantifying attacks using game based methods.In considering the different sensitivity of users to attacks in the blockchain technology architecture layer, a user sensitivity matrix is constructed to calculate subjective and objective sensitivity.The policy interaction process between honest users and malicious attackers on the blockchain is used to build a static Bayesian game model with incomplete information, and the risk impact and possibility are defined by the expected benefits of both parties, thereby obtaining the risk assessment score based on the blockchain technology architecture layer and privacy disclosure risk assessment score of the entire blockchain.Based on this, a Sigmoid function is used to regularize the risk assessment scores and determine the risk level of privacy leakage according to the risk index.Privacy leakage is divided into three risk states:negligible, moderate, and abnormal.The experimental results show that this method can effectively assess the risk of blockchain privacy disclosure and ensure multi-level and targeted privacy protection to users.