Survey on Location Privacy in Pervasive Computing

Görlach, Andreas; Heinemann, Andreas; Terpstra, Wesley W.

doi:10.1007/0-387-23462-4_3

Cited by 41 publications

(13 citation statements)

References 17 publications

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“…Görlach et al [14] suggests that users can hinder RF-based localization techniques by distributing their data on pseudo-randomly chosen channel. An attacker would then be less able to distinguish, and thus localize, signals transmitted in this way.…”

Section: Network-level Location Privacymentioning

confidence: 99%

Preserving location privacy in wireless lans

Jiang

Wang

2007

Proceedings of the 5th International Conference on Mobile Systems, Applications and Services

154

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The broadcast and tetherless nature of wireless networks and the widespread deployment of Wi-Fi hotspots makes it easy to remotely locate a user by observing her wireless signals. Location is private information and can be used by malicious individuals for blackmail, stalking, and other privacy violations. In this paper, we analyze the problem of location privacy in wireless networks and present a protocol for improving location privacy. Our basic approach is to obfuscate several types of privacy-compromising information revealed by a mobile node, including sender identity, time of transmission, and signal strength. Our design is driven by realsystem implementation and field experiments along with analysis and simulations. Our system allows users to choose the level of privacy they desire, thereby increasing the performance of less private users (while not sacrificing private users' privacy at the same time). We evaluated our system based on real-life mobility data and wireless LAN coverage. Our results show that a user of our system can be indistinguishable from a thousand users in the same coverage area.

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Section: Network-level Location Privacymentioning

confidence: 99%

Preserving location privacy in wireless lans

Jiang

Wang

2007

Proceedings of the 5th International Conference on Mobile Systems, Applications and Services

154

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“…The privacy protection technology is divided into three categories [2]: a) Based on data distortion technology: the method that distorts the sensitive data while maintaining some of data or data attributes unchanged. For example, use technologies such as adding noise, swapping etc in the primitive data processing disturbance, and meanwhile ensure that the processed data can still maintain some statistical aspects of nature for data mining and other operations.…”

Section: A the Classification Of Privacy Protection Technologymentioning

confidence: 99%

Location Privacy Protect Model Based on Positioning Middleware among the Internet of Things

Liu

Wei

et al. 2012

2012 International Conference on Computer Science and Electronics Engineering

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Internet of Things is not only a platform for communication between people, but also it provides the real-time information exchange between things and things, people and things, things and people. With the popularity of the internet of things, the application services are increasing. However, those services are usually based on the user's location information, which contains user's privacy information directly or indirectly. This paper discussed on how to protect user's location privacy while providing personalized services. Proposed a strategy of pseudonym policy and user's location information acquisition, and built a model for protecting user policy of pervasive computing based on that policy.

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“…A variety of policy-driven approaches to location privacy in pervasive systems are reviewed in [10]. Much of this research draws on established or developing privacy policy frameworks, such as the W3C Platform for Privacy Preferences (P3P; e.g., [29,20,22]), the IETF draft geographic location privacy charter (GeoPriv; e.g., [24]), and personal digital rights management (PDRM, e.g., [13]).…”

Section: Privacy Policiesmentioning

confidence: 99%

A Formal Model of Obfuscation and Negotiation for Location Privacy

Duckham

Kulik

2005

Lecture Notes in Computer Science

497

317

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Abstract. Obfuscation concerns the practice of deliberately degrading the quality of information in some way, so as to protect the privacy of the individual to whom that information refers. In this paper, we argue that obfuscation is an important technique for protecting an individual's location privacy within a pervasive computing environment. The paper sets out a formal framework within which obfuscated location-based services are defined. This framework provides a computationally efficient mechanism for balancing an individual's need for high-quality information services against that individual's need for location privacy. Negotiation is used to ensure that a location-based service provider receives only the information it needs to know in order to provide a service of satisfactory quality. The results of this work have implications for numerous applications of mobile and location-aware systems, as they provide a new theoretical foundation for addressing the privacy concerns that are acknowledged to be retarding the widespread acceptance and use of location-based services.

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Survey on Location Privacy in Pervasive Computing

Cited by 41 publications

References 17 publications

Preserving location privacy in wireless lans

Preserving location privacy in wireless lans

Location Privacy Protect Model Based on Positioning Middleware among the Internet of Things

A Formal Model of Obfuscation and Negotiation for Location Privacy

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