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Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks

机译：游乐园中移动人群感知的访客匿名身份验证

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摘要

In this paper we focus on authentication and privacy aspects of an application scenario that utilizes mobile crowd sensing for the benefit of amusement park operators and their visitors. The scenario involves a mobile app that gathers visitors' demographic details, preferences, and current location coordinates, and sends them to the park's sever for various analyses. These analyses assist the park operators to efficiently deploy their resources, estimate waiting times and queue lengths, and understand the behavior of individual visitors and groups. The app server also offers visitors optimal recommendations on routes and attractions for an improved dynamic experience and minimized wait times. We propose a practical usable solution we call an anonymous authentication of visitors protocol that protects the privacy of visitors even while collecting their details, preferences and location coordinates; deters adversaries outside the park from sending in huge amounts of false data, which lead to erroneous analyses and recommendations and bring down the app server. We utilize queuing theory to analyze the performance of a typical app server receiving numerous simultaneous requests from visitors to process a core function of our protocol.
机译：在本文中，我们专注于应用场景的身份验证和隐私方面，该场景利用移动人群感知为游乐园运营商及其访客带来利益。该方案涉及一个移动应用程序，该应用程序收集访问者的人口统计详细信息，偏好和当前位置坐标，并将其发送到公园的服务器以进行各种分析。这些分析可帮助公园运营商有效地部署其资源，估计等待时间和排队时间，并了解单个访客和团体的行为。该应用程序服务器还为游客提供关于路线和景点的最佳建议，以改善动态体验并减少等待时间。我们提出了一种实用的解决方案，称为访问者身份匿名访问协议，即使收集访问者的详细信息，偏好和位置坐标，该协议也可以保护访问者的隐私;阻止园区外的对手发送大量虚假数据，从而导致错误的分析和建议，并导致应用服务器停机。我们利用排队论来分析典型应用服务器的性能，该应用服务器收到来自访问者的大量同时请求以处理协议的核心功能。

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