Sensor network-oriented approximate query method commonly used for privacy protection

Abstract

The invention provides a sensor network-oriented approximate query method commonly used for privacy protection. The method includes the following steps that the shared data structure of a base station and sensor nodes is used for enabling the numbers and collection data of the sensor nodes to be hidden in a vector; gathering nodes transmit the vector to the base station through a tree route; a linear system of equations is constructed in the base station, and a column diagram with global statistical information and a corresponding sensor node number are solved; the needed approximate query is completed according to the statistical information of the column diagram. According to the sensor network-oriented approximate query method, under the condition that privacy information is not leaked, approximate query energy consumption is reduced by the adoption of the strategies like network internal data gathering and a filter, and under the condition that the model does not need to be modified, accuracy control over the privacy protection approximate query can be achieved by the way of parameter adjustment.

Description

technical field [0001] The invention relates to a sensor network query method, in particular to a sensor network-oriented general approximate query method on the premise of meeting privacy protection requirements, and belongs to the technical field of the Internet of Things. Background technique [0002] The sensor network is an important part of the Internet of Things, and has broad application prospects in the fields of environmental monitoring, medical and health, intelligent transportation, national defense and military affairs. With the development of sensor network applications, serious threats of privacy data leakage or tampering have been exposed in the actual application deployment process, which has aroused great attention of researchers. At present, privacy protection technology has become one of the research hotspots in the field of Internet of Things. [0003] Privacy protection technology can be mainly divided into three categories: data scrambling technology,...

AI Technical Summary

Problems solved by technology

In practical applications, it is often necessary to query the top k (k is a positive integer) sensor nodes with the highest (or lowest) collected data value, and also need to query the sensor nodes with collected data values ​​in a certain range, only a single query type can be realized The privacy-preserving protocol is limited in practical applications

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