Secure multi-party computing data system, method and equipment and data processing terminal

Abstract

The invention belongs to the technical field of information security, and discloses a secure multi-party data computing system, method and device and a data processing terminal.The secure multi-party data computing method comprises the steps that a data model of collection specifications and broadcast verification is constructed; proposing a data pool for verifying and storing a broadcast data model; a hardware adapter for converting data in a data pool into data adapting to secure multi-party computing is provided; a novel evaluation and incentive mechanism established on the block chain is provided. The data protocol provided by the invention can improve the availability of the data on the premise of protecting the security of the privacy data, and the collected data is available and verifiable under the ciphertext through the protocol; verifying ciphertext data specifications through a data pool, and storing data retrieval features; the data modality is changed through a hardware adapter, so that the data can perform secure multi-party calculation on the block chain; a novel evaluation and incentive mechanism is established on the block chain, all parties are promoted to participate in secure multi-party calculation, and sustainable circulation of data is assisted.

Description

Technical field [0001] The present invention belongs to the field of information security, and more particularly to a secure multi-party calculation data system, method, device, and data processing terminal. Background technique [0002] At present, since people's privacy awareness is gradually enhanced, and the protection of individual privacy data has become a consensus of the whole society. In the digital economic era, personal privacy data is not only personal, but also combined with public, intertwined with a variety of commercial interests. There is a natural contradiction between the mining of privacy protection and privacy data, how to dig more value has become an urgent need to solve the problem. The block chain technology provides a solution for this issue, and the block chain technology has the characteristics of traceability, non-detachable and detrimental, with personal privacy protection, and can be used as the core of privacy data. Supporting technology. However, d...

AI Technical Summary

Problems solved by technology

[0007] (1) In the existing blockchain-based secure multi-party computing platform, the main process of secure multi-party computing is still completed in a centralized process, which cannot satisfy the distributed characteristics of personal privacy data. For individual users, it is impossible to truly own For the right to use their own private data, there are still challenges in truly combining blockchain technology for secure multi-party computing in distributed scenarios

[0008] (2) Using blockchain as a platform and combining cryptography technology to solve the problem of private data use and circulation, the data quality cannot be guaranteed, the data source collected from the outside world lacks credibility, and the value of the data is also lacking. Quantitative standards; the amount of data continues to grow. As time goes by, the amount of data collected will gradually increase. Under the redundant design of the blockchain, it will cause an increase in the burden of nodes; the data types are complex and diverse. For objects, The data obtained from the perspectives of different fields are different, and multimodal data cannot be directly processed

[0009] (3) Using the blockchain as a platform, combined with cryptography technology, there are still many challenges in solving the use and transfer of private data, which leads to the inability to comply with the transfer of personal private data and exert its potential value

In traditional secure multi-party computing, the more computing parties, the higher the complexity of communication, so the requirements in distributed scenarios cannot be guaranteed

Second, there is a contradiction between the growth of data and the space on the blockchain

The collected data will gradually increase, and the space on the blockchain is limited, so the aggregation value of the data cannot be guaranteed

The third is that the multi-modality of the data makes the calculation difficult

Due to the multi-modal nature of the data, it is impossible to directly use and calculate the data

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