Research On Crowdsourcing Task Allocation Method For Workers' Personalized Privacy Protection

With the continuous development and change of Internet and mass communication,crowdsourcing,as a new problem solving model,arises at the right moment.Crowdsourcing refers to the practice in which organizations voluntarily publish tasks previously completed by corporate commissioners to the public network,and then the non-professional workers on the public network are free to choose to carry out.There are many categories of crowdsourcing according to the nature of tasks,among which spatial crowdsourcing,as a specific category of crowdsourcing mode,has attracted more and more attention from the business community following the changes in people's work concepts and the popularity of smart mobile devices such as mobile phones.Space of the particularity of crowdsourcing is that require workers to specify physical locations corresponding space crowdsourcing task,workers involved in the process of sensitive information(location)release and collection,the information may be illegal molecular recognition,based on the analysis of location information to workers in other sensitive information,such as personal preference,work,home address and other information,once exposed,will damage their privacy,will affect the enthusiasm of workers involved in space crowdsourcing task,so how to protect workers location privacy is one of the key space crowdsourcing research problems.In view of the above problems,this paper conducted the following research:(1)analysis of crowdsourcing task allocation method and privacy protection method,in view of the existing space based on space-time camouflage crowdsourcing task allocation problem without considering stealth regional population distribution,proposed a generation algorithm for worker individual best stealth area,area for workers initial stealth grid,the grid was divided by the amount of information to assess,to add or delete the grid operation of initial area,worker individual best stealth area,enhances the stealth effect,better location privacy protection workers.(2)from the perspective of workers,it is proposed to consider the degree of privacy exposure as one of the costs of task execution,combine distance with the degree of privacy exposure,and design task assignment indicators to achieve a reasonable task completion rate and ensure the effectiveness of task assignment on the premise of protecting the privacy of workers' locations.In this experiment,real world data sets were used to conduct multiple experiments to verify the impact of privacy protection on task allocation and the effect of spatial crowdsourcing task allocation.Comparative experiments were designed to compare with the existing spatialcrowdsourcing task allocation algorithm using spatial-temporal camouflage protection method,and the experimental results were analyzedIn this experiment,real world data sets were used to conduct multiple experiments to verify the impact of privacy protection on task allocation and the effect of spatial crowdsourcing task allocation.Comparative experiments were designed to compare with the existing spatial crowdsourcing task allocation algorithm using spatial-temporal camouflage protection method,and the experimental results were analyzed.