A method for detecting a transaction data source in a multi-chain scenario of a superbook

Abstract

The invention discloses a method for detecting a transaction data source under a multi-chain scenario of a super account book. The specific steps are as follows: allowing a client end to construct a transaction proposal to endorse to an endorsing node; simulating a transaction, returning an endorsement response, and a header hash; constructing a transaction request Envelope and sorting the requests; verifying client and endorsement node signatures; verifying the hash value of the transaction header and the corresponding field; continuing to execute the original sorting operation and generate blocks; The invention realizes the detection that the malicious client intentionally discloses the sensitive information due to the inadequate verification of the channel at the exchange, avoids the sensitive data disclosure problem caused by the distribution error of the transaction channel due to the lack of verification of the sorting service, and thus ensures the safety of the transaction dataunder the multi-chain scenario.

Description

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AI Technical Summary

Benefits of technology

This technology uses an initial sign check (ECC) system for securely transmitting transactions between multiple servers or machines without compromising their privacy. It also increases the amount of randomness that can be added during transmission compared with previous systems where only one server was able to verify its own identity before sending it over again. By doing this, these techniques help prevent unauthorized access from leaking important financial details about customers' accounts.

Problems solved by technology

This technical problem addressed in this patented text relates to improving trustworthiness between collaborative systems such as hyperledgers or Blockchard® while maintaining their ability to store large amounts of data securely over time. Current methods involve adding new tokens at random locations along with other tokens until they reach agreement. These techniques may expose important parts of data even if some were compromised due to attacks from hackers who could modify these areas.

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