Track privacy protection algorithm based on angle division and position semantics

A technology of privacy protection and perspective, applied in the direction of digital data protection, computing, computer security devices, etc., to achieve the effect of reducing leakage and resisting background knowledge attacks

Active Publication Date: 2017-12-15
上海东华大学科技园企业管理有限公司
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology improves upon previous methods such as positioning systems or tracking devices used during navigation operations. It predicts how well an object's movement will be within its own range before it reaches another place. By combining these techniques together, this system helps prevent interference from external sources like people who may have access to sensitive data stored inside them. Additionally, the use of location customization filters prevents unwanted actions (such as sending notifications) while still providing accurate localized map updates. Overall, this technology enhances navigational accuracy and reduces vulnerability to environmental factors affecting navigation performance.

Problems solved by technology

Technically speaking, current methods such as false tracings and suppressive techniques have limitations with regards to protecting sensitive areas like social security numbers (SSI). These existing solutions may provide poor performance due to their lack of contextual understanding during repeated queries over long periods of time.

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
  • Track privacy protection algorithm based on angle division and position semantics
  • Track privacy protection algorithm based on angle division and position semantics
  • Track privacy protection algorithm based on angle division and position semantics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] Below in conjunction with specific embodiment, further illustrate the present invention.

[0051] figure 1 The flow chart of the trajectory privacy protection algorithm based on angle division and position semantics provided in this embodiment, the trajectory privacy protection algorithm based on angle division and position semantics includes the following steps: A. Initialize and generate a grid map model; B. User input information (angle L, occupation profession, age, character, position sensitivity sen i ); C processes user input information; D users put forward a service query request, and input the current position coordinates (x, y); E divides the angle according to the position coordinates, and generates multiple false position nine-square grid areas; F, according to the current position semantics, A suitable false position is selected; G concatenates the generated false positions at all moments to generate a false trajectory.

[0052] Location semantics include:

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 a track privacy protection algorithm based on angle division and position semantics. The track privacy protection algorithm comprises the steps of 1, conducting initializing to generate a grid map model and randomly distributing all position types for the grid map model; 2, inputting information by a user; 3, processing the information input by the user; 4, providing a query request by the user and inputting a position coordinate of a current moment; 5, conducting angle division according to the position coordinate to generate many false position Sudoku areas; 6, selecting an appropriate false position according to current position semantics; 7, making the false positions generated at all the moments connected to generate a false track. According to the track privacy protection algorithm based on the angle division and position semantics, the position semantics and the track privacy protection algorithm are combined, the degree of popularization of positions, the sensitivity and the degree of privacy are utilized to quantify position semantic information, mathematical modeling is conducted on the position semantic information, the position semantic information is accurately described through a model, and privacy protection of a real track of the user can be achieved.

Description

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

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
Owner 上海东华大学科技园企业管理有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap