A Data Quality Sensing Incentive Method for Privacy Protection in Crowd Sensing

Abstract

The invention discloses a data quality perception excitation method for privacy protection in group perception. According to the method, data quality evaluation of privacy protection and excitation based on data quality are realized on the basis of a zero knowledge proof principle and an anonymity technology. A task publisher publishes a collection value range, task participants are recruited by perception service providers, the participants hide data in the constructed commitment to participate in the evaluation of the perception service providers, the task publisher verifies the reliabilityof data submitted by the task participants, the perception service providers provide an anonymous technology for the participants to protect the identity privacy of the participants, and data qualityexcitation under privacy protection is achieved under task budget constraints through measurement of two-stage data quality and an excitation mechanism based on the data quality. According to the method, the identity privacy of the user is protected, and the reliability of the data of the participants is evaluated in a privacy protection manner.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a data quality perception incentive method for privacy protection in group perception. Background technique [0002] In recent years, with the popularity of mobile sensor devices and the development of mobile device communication technology, mobile group sensing is becoming a new data collection paradigm. Crowd sensing applications include three main entities: a task requester, a sensing service provider, and a group of participants. The task requester outsources the perception task to the perception service provider, and the perception service provider recruits a group of qualified participants to perform the task for the perception task. The characteristics of easy deployment, wide coverage and low maintenance cost of group sensing applications bring great convenience to large-scale data collection. However, due to the uneven parameters of sensing devices and unco...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and propose a data quality perception incentive method for privacy protection in group perception, which solves the problems of data quality evaluation and data privacy in group perception incentives, and proves that participants provide Whether the perceived data is within the reasonable range of the evaluation standard, so as to realize the evaluation of data quality, and at the same time realize the user's identity privacy through anonymity technology. In the privacy-protected data quality evaluation, this method protects the user's identity privacy, privacy Protectively assessed the reliability of the participant's data

Images