Mobile crowd sensing privacy protection method based on dual attribute decision

A mobile crowd-sensing and sensing process technology, applied in electrical components, wireless communications, security devices, etc., to solve problems such as mutual deception between requesting users and cooperating users

Pending Publication Date: 2021-10-15
HARBIN UNIV OF SCI & TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, in the absence of an anonymous server, the problem of mutua...

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
  • Mobile crowd sensing privacy protection method based on dual attribute decision
  • Mobile crowd sensing privacy protection method based on dual attribute decision
  • Mobile crowd sensing privacy protection method based on dual attribute decision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] 1. Virtual location algorithm based on dual attribute decision-making

[0026] The location anonymity algorithm based on the virtual location is easy to deploy, has low running time cost, high success rate of anonymous set construction, and has the advantages of eliminating mutual deception between anonymous cooperation, but there are also some problems that the location randomly generated by the algorithm is easy to be filtered due to malicious attacks. question. The invention designs a new virtual position algorithm, which can achieve the purpose of resisting several simple attack forms.

[0027] Side information refers to information that can assist attackers to filter virtual locations and reduce anonymity. For example, an attacker can exclude locations in uninhabited areas (lakes, wetlands, deserts, etc.) by using map information, reducing the number of locations in K-anonymity, thereby reducing the degree of location privacy protection. For side information atta...

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 privacy protection method based on a block chain smart contract for solving the problem of privacy security leakage of a user caused by a centralized location privacy protection method in a current crowd sensing network. Firstly, a trusted distributed environment block chain is adopted to replace a third-party server, and in order to avoid leakage of personal information, a user registers an anonymous identity on the block chain. Besides, in order to solve the problem of user location privacy leakage caused by mutual cheating behaviors among users under a distributed structure, a virtual location algorithm based on dual attribute decision is designed on the smart contract. According to the algorithm, the distance value between each position and the position of a user and the historical query probability value of each position are obtained by calculating peripheral positions, then different threshold values are set for the distance value and the historical query probability value, circular screening is carried out, and then an anonymous set which effectively protects the position of the user is obtained. Finally, simulation experiments verify that the method can improve the efficiency of protecting the location privacy of the user.

Description

Technical field: [0001] The invention solves the problem of location privacy leakage caused by the centralized location privacy protection method in the mobile crowd sensing network and the mutual deception between users under the distributed structure. Background technique: [0002] With the widespread use of mobile terminal devices such as smartphones and tablets in people's daily life, Mobile Crowd Sensing (MCS) is becoming a new sensing method for collecting data. Today's smart devices are equipped with sensors with high-performance CPUs, high-speed 5G network broadband, and large-capacity memory. Such embedded sensors have powerful computing capabilities and can collect various data, such as text, pictures, audio, and video. As the current way of collecting data by mobile devices has become more flexible and efficient, MCS has attracted widespread attention from all walks of life in recent years, and in-depth research has been carried out in various fields. Among them,...

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): H04W12/02
CPCH04W12/02
Inventor 刘光辉王健陈静
Owner HARBIN UNIV OF SCI & TECH
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