Data verification method based on block chains and data verification system thereof

Abstract

The invention discloses a data verification method based on block chains and a data verification system thereof. The data verification method comprises the steps that the sensing data of the environment and / or household equipment state are acquired through multiple wireless sensor nodes of a wireless sensor network and processed and then uploaded to a data repeater; the data repeater receives the processed sensing data and then forwards the sensing data to a data verification network; multiple data verification nodes in the data verification network are responsible for verifying and saving the sensing data; and all the data verification nodes are block chain nodes, and multiple data verification nodes form a distributed database. The data verification task is completed by using the data verification nodes, and the verification work is distributed to the verification nodes from the data repeater so that the problems of being low in verification efficiency, low in speed, high in transmission delay and vulnerable because of the excessively centralized verification task can be overcome, and the nodes are excited to actively authenticate the data and rapidly complete the verification task so that the whole verification system is not influenced by single node failure of any node.

Description

technical field [0001] The invention relates to the technical field of data verification, in particular to a blockchain-based data verification method and system. Background technique [0002] The Internet of Things uses various information sensing devices to collect real-time information on objects that need to be monitored, connected, and interacted with, and is combined with the Internet to form a huge network. Its purpose is to realize the connection between things and things, things and people, and all things and networks, so as to facilitate identification, management and control. Data-related operations are being carried out in the IoT system all the time, including data collection, data transmission, and data storage. Data is vulnerable to malicious attacks and illegal tampering operations in every link. In the data collection link, illegal nodes can impersonate or attack legitimate nodes to upload illegal sensing data; Modifications will eventually lead to illega...

AI Technical Summary

Problems solved by technology

[0004] The above traditional centralized centralized verification method has problems such as too centralized verification calculation, which leads to large amount of calculation, slow speed, high delay, high energy consumption, etc., and the hardware cost of deploying data verification server is high; centralized management is easy to face Single point of failure, risks such as centralized malicious attacks

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