Remote data connection method across local area network based on reverse ssh

Abstract

The scheme provides a reverse-SSH-based cross-local-area-network remote data connecting method. The method comprise: step (1), port binding and connection establishment are carried out; step (2), a magic mirror unit is logged in; to be specific, a reverse SSH control unit carries out prompting to input a user name password of a user at a magic mirror public cloud terminal and a request is initiated to a server B to obtain detailed information of the user; step (3), data source information is obtained; to be specific, the reverse SSH control unit carries out prompting to input information containing a machine database user name password and the like and all database information of a server A is obtained after successful operation; and step (4), a data source is mounted; to be specific, the reverse SSH control unit guides the user to designate a data analysis project and a database and initiates a data source mounting request to a monitoring service unit of the server B after confirmation, the monitoring service unit of the server B writes information needed for connection into the database according to correlated information of the project and the data source and the like and places the information under the corresponding project, thereby realizing a data source mounting effect.

Description

technical field [0001] The invention relates to a method for remote data connection, in particular to a reverse SSH-based cross-local area network remote data connection method. Background technique [0002] Existing data analysis systems often only support the connection to local data (or within the local area network), or support the data connection between public network servers and public network servers. [0003] In actual work, due to the need for data security, the database is often placed on the server of the company's intranet, and a company's intranet has only one external IP. The result of this situation is that the data analysis system in the cloud (public network) cannot Actively discover and identify remote data sources in the LAN. Therefore, the internal data sources of many companies cannot enjoy the cloud (public network) data visualization and analysis services, and the security of the data retransmission process is not high enough. Contents of the inven...

AI Technical Summary

Problems solved by technology

[0003] In actual work, due to the need for data security, the database is often placed on the server of the company's intranet, and a company's intranet has only one external IP. The result of this situation is that the data analysis system in the cloud (public network) cannot Actively discover and identify remote data sources in the LAN

Therefore, the internal data sources of many companies cannot enjoy the cloud (public network) data visualization analysis service, and the security of the data retransmission process is not high enough.

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