Crowd sensing method based on block chain

Abstract

The invention discloses a crowd sensing method based on a block chain, which is applied to a network environment composed of n crowd sensing workers, m crowd sensing requesters and the block chain, and comprises the steps of S1 an initialization stage; S2 a quotation stage; S3 a winner selection and pricing stage; S4 a data submitting and aggregating stage; and S5 a payment stage. According to themethod, the problem that fairness and privacy are not considered in a current crowd sensing incentive mechanism can be solved, so that it is guaranteed that workers and requesters can execute transactions under the condition that fairness is guaranteed; meanwhile, anonymity of the workers is protected; contact between user information and position information is cut off; and personal privacy safety is protected.

Description

technical field [0001] The invention relates to the technical field of network and information security, in particular to a blockchain-based group intelligence sensing method. Background technique [0002] In recent years, with the rise of Mobile Crowd Sensing (MCS), it outsources the collection of sensing data to a group of participating users, namely workers. They usually carry mobile devices (such as smartphones, smart watches, smart glasses) with a large number of on-board sensors (such as gyroscopes, cameras, GPS, compass, accelerometers), such as Gaode map and Baidu map. Sensing data to judge road congestion. However, a simple MCS system may have the following problems: [0003] Lack of incentives. To perform sensing tasks, participating workers usually consume their own resources, such as computing and communication energy, and expose themselves to potential privacy threats by sharing personal data. To motivate users to participate in perception tasks, it is neces...

AI Technical Summary

Problems solved by technology

[0010] (3) Refusal to pay wages to workers

For example: the platform refuses to send the final result to the requester after charging the requester's fee, resulting in damage to the requester's interests

[0012] (5) Disclosure of user privacy

For example: in the traffic situation detection system, the platform collects the user's location information and maliciously leaks the user's location information and personal identity information. Malicious parties can detect individuals based on the user's location, posing a threat to the user's life safety

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