A method of using public key to encrypt summary ciphertext in blockchain application system

Abstract

The invention relates to a method for encrypting summary ciphertext using a public key in a block chain application system. Including: the data collection and summarization process of the application system needs to be open and verifiable, and the system is built on the blockchain; the application system has high-cardinality classification data, and uses the summary data structure to represent the data; the user contributes data to the application system privately. The public key encryption summary is attached with the validity certificate of the summary ciphertext based on zero-knowledge proof; the summary node inputs the proof to the smart verification contract, and pays the calculation and storage costs of the verification; the summary node summarizes all valid summary ciphertexts and decrypts them, Publish summary summary results on the blockchain. The invention can add transparency to the application system, and the process of data collection and summarization is open and verifiable; the summary data structure of the sub-linear storage space represents the data, reducing the storage and communication overhead; it can ensure the validity of the summary ciphertext and prevent malicious users Data pollution attacks on systems; can be widely used in transparent systems that need to represent high-cardinality classification data in summaries.

Description

technical field [0001] The invention belongs to the field of cryptography, and specifically relates to a zero-knowledge proof-based method for encrypting summary ciphertext with a public key in a block chain application system. Background technique [0002] In the application system, it is often necessary to summarize and count a large amount of data, and then publish the statistical results for data users to use. For example, the statistics of user video viewing data in the video recommendation system, the statistics of user traffic data in the network monitoring system, etc. These data are classified data with high cardinality. If one-hot encoding (One-HotEncoding) whose size has a linear relationship with the cardinality is used to represent the data, storage and communication overhead will be increased. In addition, data users are concerned about the correctness of statistics and require that the data collection and aggregation process be open and verifiable. [0003] ...

AI Technical Summary

Problems solved by technology

[0005] However, if the user constructs an invalid profile (no data can be mapped to this profile) and uploads it encrypted, the system will cause data pollution when summarizing the ciphertext of this profile

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