Data acquisition method of distributed data system and distributed data system

Abstract

The invention discloses a data collection method and the distributed data system. The method comprises the steps that a management data center and remote terminals share own shared secret keys with each other, and the management data center receives first random numbers sent by the remote terminals and sends second random numbers generated by the management data center to the remote terminals; the management data center generates first checking values according to the shared secret keys, the first random numbers, the second random numbers and pre-stored first signature information; the management data center sends the first checking values to the remote terminals, so that the remote terminals check the first checking values, and second checking values of the remote terminals are received; and the management data center averagely allocates data collection tasks for colleting target data uploaded by the remote terminals to each auxiliary data center for execution when the first checking value and the second checking value are checked successfully and checking success signals sent by the remote terminals are received. According to the system, the phenomenon that the target data is wrongly sent to illegal terminals or the illegal target data is collected can be avoided, and the information security of the target data can be improved.

Description

technical field [0001] The invention relates to the technical field of distributed systems, in particular to a data collection method of a distributed data system and a distributed data system. Background technique [0002] In reality, a large amount of data is generated all the time, some of which need to be analyzed and some need to be stored. The amount of all these data that needs to be processed is huge and similar, so it is necessary to analyze and process these big data. data. [0003] In the prior art, data collection machines are generally used to collect target data (such as performance data, alarm data, flow data, business data, etc.) , and then the data collection machine uploads the target data to the data center. However, since the remote terminal directly uploads the generated target data, there is no identity verification between the remote terminal and the data collection machine, and the data collection machine cannot guarantee the collected target data. ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a data collection method and a distributed data system for a distributed data system, aiming to solve the problem of information collection caused by the collection of target data in the prior art, which may cause the target data to be wrongly sent to illegal terminals or collect illegal target data. security technical issues

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