Fecha de publicación:
25/06/2021
Fuente: Wipo "BigData"
The invention provides an agricultural worker login system safety working method based on big data analysis, comprising the following steps: judging whether an IP address in a login authentication instruction is a pre-stored IP address, if the IP address is consistent with the pre-stored IP address, entering a system key authentication operation, if the IP address is not consistent with the pre-stored IP address, returning to a login authentication initial stage, and if the IP address is not consistent with the pre-stored IP address, entering a system key authentication operation; in the login authentication process, after the password of the agricultural worker is successfully verified, generating an effective key login cache value of the agricultural worker through a key list table, modifying a key list in real time in the login security verification process, wherein the key list comprises a plurality of key values, and any key value corresponds to a key state and a key version; and obtaining the secret key state and the secret key version from login authentication information which is received from the cloud server and is regularly sent by agricultural workers, generated login security verification information, and generating secondary login authentication information through a digital signature secret key.