Privacy protection-based crowd-sensing network truth value discovery method

Abstract

The invention provides a privacy protection-based crowd-sensing network truth value discovery method, and belongs to the technical field of Internet of things crowd-sending. The privacy of a message is guaranteed by using an improved Paillier encryption algorithm during message transmission; the identity authentication of a user is guaranteed by using a one-way hash chain; and the high efficiencyof output is guaranteed by using a superlinear sequence. An identity authentication process can meet an authentication requirement of terminal equipment in a truth value discovery environment to resist an attack of an external attacker; a secure truth value discovery process can acquire real sensing data and guarantee the security and privacy protection of the whole system. Compared with a traditional method, the privacy protection-based crowd-sensing network truth value discovery method can protect the data and weight privacies of the user, greatly reduce the computation and bandwidth consumption of the terminal equipment and improve the efficiency and security of the whole system.

Description

technical field [0001] The invention relates to a method for discovering the truth value of a group intelligence sensing network based on privacy protection, and belongs to the technical field of group intelligence sensing of the Internet of Things. Background technique [0002] The crowd-sensing network integrates communication technology and sensor technology, and senses, collects, transmits, and processes various environments in the coverage area through various intelligent terminals carried by a large number of mobile terminals (such as smart phones, tablet computers, smart watches, etc.) data and social information. With the continuous development and popularization of these intelligent terminals, crowd sensing networks can be widely used in various fields such as environmental sensing, public facility sensing, and social sensing, and have attracted great attention from industry and academia. [0003] However, due to reasons such as environmental noise, hardware qualit...

AI Technical Summary

Problems solved by technology

However, the problem with the above solution is that cloud b can use random numbers to restore the terminal's perception data

Therefore, there is still a lack of a safe, efficient, and fault-tolerant truth-value discovery method

Images