Blockchain-based safety excitation method and system in crowd sensing application

Abstract

The invention relates to a blockchain-based safety excitation method and system in a crowd sensing application. In the method, a user side and a server side, as both transaction parties of a blockchain, carry out transaction. The method comprises the following steps that: 1, a server releases a perception task to the user side; 2, after executing and completing the perception task, the user side uploads perception data to the server; 3, a miner in the blockchain verifies quality of the perception data and sends the quality of the perception data to the server; and 4, the server pays the remuneration to the user side according to the quality of the perception data. Further, after obtaining the quality of the perception data, the miner quantifies an effective contribution of the quality of the perception data by utilizing a mutual information principle and sends the effective contribution to the server, and then the server gives the corresponding remuneration to the user side according to the effective contribution. According to the invention, safety excitation in the crowd sensing application is implemented by adopting a distributed architecture of blockchain safety, a collusion attack initiated by a perception platform can be effectively prevented, and potential safety hazards which a credible third party faces are overcome.

Description

technical field

[0001] The invention belongs to the technical field of crowdsensing privacy protection, and specifically proposes a crowdsensing-based block chain privacy protection incentive method and system for crowdsensing user privacy information protection and perception data verification. Background technique

[0002] Crowdsmart sensing refers to the technology that large-scale users collect and share sensing data through mobile terminals with perception and computing capabilities, measure, analyze and estimate the data, and then extract phenomena or information related to public interests. A perceptual network model such as figure 1 shown. Crowdsensing is a combination of the Internet of Things and crowdsourcing. With the development of "Internet +" and the popularization of smart terminals such as smart phones, Pads, and wristbands, crowdsensing is used in environmental pollution quality monitoring, environmental noise maps, and real-time traffic. It has been wide...

Examples

Embodiment

[0069] Example: Urban Noise Perception

[0070] 1. Publish perception tasks

[0071] The structure of the task announcement is shown in Table 1, and the syntax format of the transaction task is as follows, where In-script means input and Out-script means output:

[0072] Task_Claim: Perception task issued by the Server. "in T y "Represents the last task block T linked in y .

[0073] In-script: Sign the released task for Sever; is the user u performing the perception task unknown The data quality of ; n is the number of users participating in the perception task; r is the basic remuneration; Cryptographically signed user data

[0074]Out-script: authenticate user u unknown sensory data; verify user identity.

[0075] Value: The deposit M coins given by the server.

[0076] Time-lock: Task deadline.

[0077] The perception task is released by the perception platform Server. Here we take the city noise map perception NoiseTube as an example. The server gives a ...

technical field

[0001] The invention belongs to the technical field of crowdsensing privacy protection, and specifically proposes a crowdsensing-based block chain privacy protection incentive method and system for crowdsensing user privacy information protection and perception data verification. Background technique

[0002] Crowdsmart sensing refers to the technology that large-scale users collect and share sensing data through mobile terminals with perception and computing capabilities, measure, analyze and estimate the data, and then extract phenomena or information related to public interests. A perceptual network model such as figure 1 shown. Crowdsensing is a combination of the Internet of Things and crowdsourcing. With the development of "Internet +" and the popularization of smart terminals such as smart phones, Pads, and wristbands, crowdsensing is used in environmental pollution quality monitoring, environmental noise maps, and real-time traffic. It has been wide...

Examples

Embodiment

[0069] Example: Urban Noise Perception

[0070] 1. Publish perception tasks

[0071] The structure of the task announcement is shown in Table 1, and the syntax format of the transaction task is as follows, where In-script means input and Out-script means output:

[0072] Task_Claim: Perception task issued by the Server. "in T y "Represents the last task block T linked in y .

[0073] In-script: Sign the released task for Sever; is the user u performing the perception task unknown The data quality of ; n is the number of users participating in the perception task; r is the basic remuneration; Cryptographically signed user data

[0074]Out-script: authenticate user u unknown sensory data; verify user identity.

[0075] Value: The deposit M coins given by the server.

[0076] Time-lock: Task deadline.

[0077] The perception task is released by the perception platform Server. Here we take the city noise map perception NoiseTube as an example. The server gives a ...

Images