Warrantable privacy protection space crowdsourcing task distribution system and method

Abstract

The invention discloses a warrantable privacy protection space crowdsourcing task distribution system and method, and the system comprises an SC server, an encryption service provider, a space task requester, and workers. The encryption service provider generates a secret key, and employs a Paillier password and ElGamal password system. The space task requester creates a space task, and returns the position of the task to the SC server. The SC server encrypts the position of the task, and each worker calculates the distance between the position of the task and the position of the worker. The speed of each worker is encrypted and transmitted to the SC server, and each worker calculates the travel time of his own, and encrypts the travel time and transmits the encrypted travel time to the SC server. The SC server calculates the winning workers through the encryption service provider, and the encryption service provider enables the winning worker set comprising a plurality of winning workers to be encrypted and returned to the SC server. The SC server encrypts the position of the task, and broadcasts the encrypted position of the task to all workers, and the winning workers arrive at the specified position to execute the task. According to the invention, the system achieves the double-side privacy protection in the space crowdsourcing, greatly reduces the calculation, and can guarantee that the task is accepted at high probability.

Description

technical field [0001] The invention belongs to the field of computers, and specifically relates to a space crowdsourcing task distribution system, in particular to a guaranteed privacy-protected space crowdsourcing task distribution system; in addition, the present invention also relates to the guaranteed privacy-protected space crowdsourcing task The implementation method of the distribution system. Background technique [0002] Crowdsourcing has revolutionized the problem-solving landscape by outsourcing a task (usually performed by a designated agent) to the masses through an open call. Crowdsourcing can provide on-demand talent capacity and expert services at a much lower cost than hiring professionals, and has been successfully applied to transcribing books, protein folding, galaxy classification, and traffic monitoring. Recently, crowdsourcing has also been widely used in emergency management, as it enables efficient and low-cost collection of critical information du...

AI Technical Summary

Problems solved by technology

First, it only considers the location privacy of workers, not the privacy of task locations

Second, it mainly performs task assignment based on the worker's traveling distance without taking into account other important factors such as the worker's traveling speed, which makes the assignment results sometimes unsatisfactory

It is possible to design a scheme based on fully homomorphic encryption (FHE) to realize the computation of the system, but this will lead to high computational cost, making the method of limited practical significance

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