AABN: Anonymity assessment model based on Bayesian network with application to blockchain

Blockchain is a technology that uses community validation to keep synchronized the content of ledgers replicated across multiple users, which is the underlying technology of digital currency like bitcoin. The anonymity of blockchain has caused widespread concern. In this paper, we put forward AABN, an Anonymity Assessment model based on Bayesian Network. Firstly, we investigate and analyze the anonymity assessment techniques, and focus on typical anonymity assessment schemes. Then the related concepts involved in the assessment model are introduced and the model construction process is described in detail. Finally, the anonymity in the MIX anonymous network is quantitatively evaluated using the methods of accurate reasoning and approximate reasoning respectively, and the anonymity assessment experiments under different output strategies of the MIX anonymous network are analyzed.