A Privacy-Preserving Decentralized Parameter Estimation Method for Sensor Networks
A sensor network and parameter estimation technology, applied in network topology, transmission system, digital transmission system, etc., can solve the problems of increasing the risk of sensitive data leakage, weak intelligent terminals with weak security protection capabilities of edge computing nodes, and vulnerable to hacker attacks, etc.
Active Publication Date: 2021-07-06
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +1
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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
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[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...
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The invention discloses a privacy-protected sensor network distributed parameter estimation method. The technical solution adopted in the present invention is: the sensor node sends the measurement data and noise variance ciphertext to the edge computing node, and the edge computing node performs fusion calculation on the data ciphertext of the sensor node, and sends the fused result to the fusion center; There is a trust center that generates keys and distributes them to the fusion center and sensor nodes; the fusion center collects the ciphertexts of different edge computing nodes, decrypts them to obtain the corresponding plaintexts, and based on the best linear unbiased estimation method Estimation of the parameters measured by the sensor is done. The present invention can realize the fusion of multi-sensor measurement data under the condition that the edge computing node does not decrypt the data, and improves the security of the sensor network.
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 ...
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IPC IPC(8): H04W12/041H04W84/18H04L9/00H04W4/38H04W12/02
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