首页> 外文会议>Mobile Data Management (MDM), 2007 International Conference on; Mannheim,Germany >Privacy in Location-Based Services: State-of-the-Art and Research Directions
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Privacy in Location-Based Services: State-of-the-Art and Research Directions

机译:基于位置的服务中的隐私:最新技术和研究方向

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The explosive growth of location-detection devices (e.g., GPS-like devices and handheld devices) along with wireless communications and mobile databases results in realizing location-based applications that deliver specific information to their users based on their current locations. Examples of such applications include location-based store finder, location-based traffic reports, and location-based advertisements. Although location-based services promise safety and convenience, they threaten the privacy and security of users as such services explicitly require users to share private location information with the service. If a user wants to keep her location information private, she has to turn off her location-aware device and temporarily unsubscribe from the service. Recent studies show that such privacy concerns - ranging from worries over employers snooping on their workers'' whereabouts to fears of tracking by potential stalkers - are a serious obstacle to wider adoption of location-based services. This article aims to provide practitioners, researchers, and graduate students with the state of the art and major research issues in the important and practical research area of location privacy. In general, the tutorial is divided into the following five parts: (1) legislative issues and privacy concerns, (2) location privacy in mobile environments, (3) privacy attack models, (4) privacy-aware location query processing; (5) concluding remarks.
机译:位置检测设备(例如,类似GPS的设备和手持设备)以及无线通信和移动数据库的爆炸性增长,导致实现了基于位置的应用程序,该应用程序可以根据用户的当前位置向其用户传递特定信息。此类应用程序的示例包括基于位置的商店查找器,基于位置的交通报告和基于位置的广告。尽管基于位置的服务保证了安全性和便利性,但是它们威胁用户的隐私和安全性,因为此类服务明确要求用户与该服务共享私有位置信息。如果用户希望将自己的位置信息保密,则必须关闭其位置感知设备并暂时取消订阅该服务。最近的研究表明,这种隐私问题(从担心雇主窥探工人的下落到担心潜在的跟踪者追踪跟踪),是广泛采用基于位置的服务的严重障碍。本文旨在为从业者,研究人员和研究生提供有关位置隐私的重要和实用研究领域的最新技术和重大研究问题。通常,本教程分为以下五个部分:(1)立法问题和隐私问题;(2)移动环境中的位置隐私;(3)隐私攻击模型;(4)隐私感知位置查询处理; (5)结束语。

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