Method for supporting multi-dimensional data truth value discovery in crowd sensing

The invention provides a multi-dimensional data truth value discovery supporting privacy protection in crowd sensing, which comprises the following steps of: S1, initializing, and setting built-in parameters and algorithms; s2, a data requester sends a task to a sensing platform, the sensing platform publishes the task to a data provider, and the data provider uploads data; s3, the sensing platform and the computing service provider jointly solve the weight of the data provider; s4, the perception platform and the computing service provider jointly compute a task truth value; and S5, circularly executing S3 and S4 to obtain a final truth value, and returning a final truth value result to the data requester. According to the technical scheme, the actual requirement of multi-source sensing in a crowd sensing system is effectively met, data overflow under the condition of huge data volume is prevented, privacy protection of data providers is achieved, and efficiency reduction is prevented; therefore, multi-dimen