ILSSPP:智能城市中具有隐私保护功能的智能位置共享系统

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
G. Saldamli, Richard Chow, Hongxia Jin
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引用次数: 0

摘要

越来越多的人通过移动设备访问社交网络服务。这一趋势促使Facebook和Google+等服务将定位功能作为用户互动的一项功能。与此同时,随着智能手机市场渗透率的提高,Foursquare和Shopkick等基于地理位置的服务也在不断增长。事实上,尽管人们担心安全和第三方使用私人位置信息(例如,用于广告),但这种增长仍在发生。然而,服务提供商一直不愿意建立真正的私人系统,在这个系统中,他们无法获得位置信息。在本文中,我们描述了一个名为ILSSPP的隐私保护位置共享系统的架构和试验实现。该系统保护了服务提供商提供的位置信息,并实现了细粒度的位置共享。该系统的一个主要特点是保护个人的社会网络结构。对联系人的位置共享偏好模式可以在不了解位置本身的情况下揭示这种结构。ILSSPP通过协议统一和屏蔽保护共享首选项的位置。ILSSPP已经作为一个独立的解决方案实施,但该技术也可以集成到基于位置的服务中,以增强隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ILSSPP: Intelligent location sharing system with privacy preserving features for smart cities
Social networking services are increasingly accessed through mobile devices. This trend has prompted services such as Facebook and Google+to incorporate location as a de facto feature of user interaction. At the same time, services based on location such as Foursquare and Shopkick are also growing as smartphone market penetration increases. In fact, this growth is happening despite concerns (growing at a similar pace) about security and third-party use of private location information (e.g., for advertising). Nevertheless, service providers have been unwilling to build truly private systems in which they do not have access to location information. In this paper, we describe an architecture and a trial implementation of a privacy-preserving location sharing system called ILSSPP. The system protects location information from the service provider and yet enables fine grained location-sharing. One main feature of the system is to protect an individual’s social network structure. The pattern of location sharing preferences towards contacts can reveal this structure without any knowledge of the locations themselves. ILSSPP protects locations sharing preferences through protocol unification and masking. ILSSPP has been implemented as a standalone solution, but the technology can also be integrated into location-based services to enhance privacy.
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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