An electric vehicle charging position data privacy gathering method based on local differential privacy

A technology of differential privacy and charging location, which is applied in the field of information security and privacy protection, can solve problems such as high noise and poor data availability, and achieve the effect of improving availability, good availability, and resisting background knowledge attacks

Active Publication Date: 2019-06-14
WUHAN UNIV
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Problems solved by technology

However, the noise introduced by the random mapping matrix m

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  • An electric vehicle charging position data privacy gathering method based on local differential privacy
  • An electric vehicle charging position data privacy gathering method based on local differential privacy
  • An electric vehicle charging position data privacy gathering method based on local differential privacy

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Embodiment Construction

[0034] The present invention proposes a novel privacy aggregation method for electric vehicle charging location data. This method proposes a privacy protection method for electric vehicle charging location data aggregation based on local differential privacy. This method can effectively improve the availability of data aggregation results by increasing the number of perturbed data samples. At the same time, the privacy location domain is reduced by partitioning the overall charging location domain to further improve the usability of the aggregation results

[0035] figure 1 Shown is a schematic diagram of the EV charging system model of the present invention, as shown in the figure, which includes three important components: electric vehicles, charging piles, and data aggregators. When the EV interacts with the charging pile, the generated location data is transmitted through wireless communication between the EV and the data aggregator. figure 2 Shown is a schematic diagr...

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Abstract

The invention relates to an electric vehicle charging position data privacy convergence method based on local differential privacy. According to the method, on the basis of analysis of application scenarios and charging position data characteristics, a novel Bayesian multi-pseudo local differential privacy method and a method based on power supply line partitioning are combined, and the electric vehicle charging position data privacy convergence method is designed. According to the method, the disturbance output sample size is increased through a Bayesian multi-pseudo method, and meanwhile, the availability of an electric vehicle charging position data aggregation result is effectively improved in a manner of reducing a privacy position domain by partition.

Description

technical field [0001] The invention belongs to the field of information security and privacy protection, and in particular relates to a private data gathering method for protecting charging position data of electric vehicles. Background technique [0002] With the development of new energy technologies, electric vehicles (Electric Vehicle, EV) are gradually becoming popular. Due to the limitation of on-board battery technology, EVs need to frequently visit charging piles for charging. During the interaction with charging piles, the data aggregator will collect EV charging location data, which can provide data for third-party scientific research institutions and enterprises Serve. For example, the State Grid can optimize the arrangement of charging piles (stations) and guide power dispatching based on charging location data. The system model of EV charging includes three components: EV, charging pile / station, and data aggregator, such as figure 1 shown. Among them, EV is...

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Application Information

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IPC IPC(8): G06F21/62
Inventor 刘树波熊星星李丹蔡朝晖
Owner WUHAN UNIV
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