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TASK ALLOCATION SYSTEM MODEL OF PRIVACY PROTECTED SPATIAL CROWDSOURCING, AND IMPLEMENTATION METHOD

机译:保护性空间众筹的任务分配系统模型及其实现方法

摘要

Disclosed is a task allocation system model of privacy protected spatial crowdsourcing, comprising a spatial crowdsourcing server, a cryptographic service provider unit, a spatial task request unit and a worker mobile terminal, wherein the spatial task request unit is used for creating spatial tasks and transmitting task information to the spatial crowdsourcing server; the spatial crowdsourcing server allocates the tasks to the worker mobile terminal; and the cryptographic service provider unit provides privacy protection task allocation management for the spatial task request unit, the spatial crowdsourcing server and the worker mobile terminal. Furthermore, also disclosed is an implementation method of the system model. The present invention firstly realizes dual-party privacy protection in spatial crowdsourcing, not only protecting the privacy of the worker, but also protecting task privacy. Efficient task allocation is performed in spatial crowdsourcing, and the privacy protection is provided to both the worker and the task.
机译:公开了一种隐私保护的空间众包的任务分配系统模型,包括空间众包服务器,密码服务提供者单元,空间任务请求单元和工作人员移动终端,其中空间任务请求单元用于创建空间任务并进行传输任务信息发送给空间众包服务器;空间众包服务器将任务分配给工作人员移动终端。密码服务提供者单元为空间任务请求单元,空间众包服务器和工作人员移动终端提供隐私保护任务分配管理。此外,还公开了系统模型的实现方法。本发明首先在空间众包中实现了两方隐私保护,不仅保护了工作人员的隐私,而且还保护了任务的隐私。在空间众包中执行有效的任务分配,并为工作人员和任务提供隐私保护。

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