Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Agricultural worker abnormal identity identification work method through big data platform

A big data platform and staff technology, applied in the field of data security, can solve the problems of lack of security authentication authorization, massive data exposure, imperfect security authentication mechanism, etc., to achieve backup and recovery, and prevent malicious attacks.

Inactive Publication Date: 2021-04-16
重庆扬成大数据科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of personnel login, there is a lack of corresponding security authentication authorization, and the security authentication mechanism is not perfect, resulting in the exposure of massive data in the network environment, which urgently requires technical personnel in the field to solve corresponding technical problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Agricultural worker abnormal identity identification work method through big data platform
  • Agricultural worker abnormal identity identification work method through big data platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0037] Such as figure 1 with 2 As shown, the present invention discloses a method for identifying abnormal identities of agricultural workers through a big data platform, including the following steps:

[0038] System security is a major issue that the entire system platform must pay attention to and solve. The security issues considered in this project are:

[0039] S1. Obtain the basic user information of the agricultural staff, initiate a login authentication command, and include the IP address in the login authentication command; ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an agricultural worker abnormal identity identification work method through a big data platform, and the method comprises the steps: S1, carrying out the timing synchronization login authentication of a current secret key list after the login authentication of an agricultural worker is started, discovering an abnormal state in a login authentication process, and carrying out the safety authentication feedback; S2, after authentication feedback, when an abnormal intercepted data instruction is found through a big data network, enabling the abnormal intercepted data instruction not to decrypt the loaded data through adoption of a data interception method; meanwhile, the IP address of the terminal is requested by positioning and initiating the abnormal interception data instruction, so that the phenomena of tampering and retransmission in the login authentication process of agricultural workers are prevented; a secure login access control mechanism is realized; and cloud server distribution operation is performed on the safe login process data, thereby finishing data sharing operation of the login authentication process of the agricultural staff.

Description

technical field [0001] The invention relates to the field of data security, in particular to a method for identifying abnormal identities of agricultural workers through a big data platform. Background technique [0002] Rural informatization lags behind, and there are low levels of rural network informatization, information is not smooth, the majority of farmers cannot get the agricultural information they need in time, and the problems encountered in agricultural science and technology cannot be solved in time. Non-standard agricultural technology and commodity market order have increased the risk of farmers adopting agricultural technology and severely discouraged farmers' enthusiasm for adopting new technologies. [0003] The construction of the science and technology commissioner’s service to the Sannong informatization platform is to improve the rural market system, strengthen two-way information interaction and exchange, promote the construction of a modern rural circ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04L29/06H04L29/08
Inventor 杨琴师铭姚平波
Owner 重庆扬成大数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com