Privacy protection method for trust state evaluation

Abstract

The invention discloses a privacy protection method for trust state evaluation. Majority of the existing solution method is based on the homomorphic encryption and like encryption method, this methodis high in privacy security, but large in computation expenditure, so that the method is hard to operate on a mobile terminal. On the other hand, since the crowd-sourcing sensing policy oriented to the task distribution is continuously perfected, the existing task distribution policy mainly focuses on the expenditure and the completion time, and ignores the privacy of the participant and the influence on the task sensing result by the reliability. Therefore, by matching the basic capacity attribute of the participant in the crowd-souring sensing network with the task attribute, the participantmeeting the basic condition is screened by using a Bloom filter, and then in the candidate participant, the capacity trust of the participant is obtained by further computing the similarity of the capacity weight of the participant and the task weight, and the evaluation on the participant trust value is accomplished by utilizing the relative reputation value of the participant and the task publisher, and the whole participant selection process is realized on this basis. The design method provided by the invention can recruit appropriate participant when the privacy of each of the participantand the requester is protected, and the aim of balancing the privacy protection and the sensing quality is achieved.

Description

technical field

[0001] The invention relates to a privacy protection strategy of a crowd-sensing network, in particular to the design of a privacy protection mechanism for trust state-aware participating node selection. Background technique

[0002] With the rapid development of mobile Internet technology and applications, mobile intelligent terminal equipment has been widely used and greatly popularized. Smart mobile terminal devices integrate rich sensors and ubiquitous sensing networks, enabling ordinary users to participate in the activities of sensing and collecting surrounding environmental conditions. In this context, the combination of mobile sensing and crowdsourcing ideas has produced new types of Network perception mode, that is, group intelligence perception. At present, crowd sensing has entered a rapid and in-depth development stage, and has penetrated into various aspects such as intelligent transportation travel, infrastructure and municipal management servi...

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