Unlock instant, AI-driven research and patent intelligence for your innovation.

Privacy-protected sensor network distributed parameter estimation method

A sensor network and parameter estimation technology, applied in network topology, transmission system, digital transmission system, etc., can solve problems such as increasing the risk of sensitive data leakage, weak security protection capabilities of edge computing nodes, and being vulnerable to hackers.

Active Publication Date: 2020-10-20
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Edge computing nodes are usually intelligent terminals with relatively weak security protection capabilities, which are vulnerable to hacker attacks
Traditional distributed parameter estimation methods require edge computing nodes to decrypt sensor measurement data, which will inevitably increase the risk of sensitive data leakage

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
  • Privacy-protected sensor network distributed parameter estimation method
  • Privacy-protected sensor network distributed parameter estimation method
  • Privacy-protected sensor network distributed parameter estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention more clear and clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0050] Such as figure 1 In the sensor network shown, the sensor nodes are divided into M clusters, and each cluster has an edge computing node. with H i Indicates the edge computing node of the i-th cluster, with S ij Indicates the jth sensor node of the i-th cluster, with N i Indicates the number of sensor nodes in the i-th cluster. All sensor nodes are used to observe the same object, and the value of the physical quantity to be measured is represented by x. use z ij Indicates node S ij measurement value. The sensor node needs to send the data ciphertext to the corresponding edge computing node. The edge computing node fuses the data ciphertext and sends it to the fusion center. The fusion center restores t...

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 discloses a privacy-protected sensor network distributed parameter estimation method. According to the technical scheme, a sensor node sends measurement data and a noise variance ciphertext to an edge computing node, and the edge computing node performs fusion computation on the data ciphertext of the sensor node and sends a fusion result to a fusion center; a trust center generatesa secret key and distributes the secret key to the fusion center and the sensor nodes; and the fusion center collects ciphertext of different edge computing nodes, decrypts the ciphertext to obtain acorresponding plaintext, and completes estimation of parameters measured by the sensor based on an optimal linear unbiased estimation method. According to the invention, under the condition that the edge computing node does not decrypt the data, the fusion of the multi-sensor measurement data is realized, and the security of the sensor network is improved.

Description

technical field [0001] The invention belongs to the field of electric power meter data processing, in particular to a privacy-protected method for converging electricity consumption data at the edge side of a low-voltage station area. Background technique [0002] In a sensor network, sensor nodes need to send measurement data to a fusion center. The fusion center uses the measured values ​​of each node to realize the parameter estimation of the observed quantity based on the best linear unbiased estimation. In order to reduce the communication overhead, the method of distributed parameter estimation is usually adopted. In distributed parameter estimation, sensor nodes can first send data to edge computing nodes, and edge computing nodes send fused data to the fusion center. In order to prevent the measurement data from being maliciously stolen, the communication between the sensor node and the edge computing node, and the communication between the edge computing node and ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04W12/04H04W84/18H04L9/00H04W4/38H04W12/02
CPCH04L9/008H04W12/02H04W84/18H04W4/38
Inventor 汪自翔司为国周自强韩嘉佳张江丰周辉
Owner ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY