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  1. Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld '10)
  2. Trust no one: a decentralized matching service for privacy in location based services
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Role of mobile handhelds in redefining how we work, live and experience the world around us: some challenges and opportunities
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
A mobile peer-to-peer system for opportunistic content-centric networking
The case for crowd computing
Exhausting battery statistics: understanding the energy demands on mobile handsets
PhoneNet: a phone-to-phone network for group communication within an administrative domain
Energy-efficient data transfer primitives for laptops using mobile handhelds
EyePhone: activating mobile phones with your eyes
On the forwarding capability of mobile handhelds for video streaming over MANETs
Trust no one: a decentralized matching service for privacy in location based services

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Trust no one: a decentralized matching service for privacy in location based services

Content Provider ACM Digital Library
Author Jaiswal, Sharad Nandi, Animesh
Abstract We propose a new approach to ensure privacy in location based services, without requiring any support from a "trusted" entity. We observe that users of location based services are sensitive about their i) location coordinates and ii) their interests and social relationships, as captured in their queries. We also observe there are entities that naturally have access to at least one of these pieces of information. The user and/or their mobile operator has access to their current location, and the LBS provider needs to know of the interests (in businesses, services and acquaintances) of a user. In this paper we consider whether it is possible for these entities to exchange information such that a user's queries to the LBS can be answered without i) any one entity coming to know of all sensitive information ii) a loss in the quality of service of the query, or an inordinate load on the user. Specifically, we outline the design of a decentralized matching service that takes encoded information from both the participating entities, and creates triggers when a user, and their objects of interest are in the vicinity of each other. Given that each component of the matching service has access to only a limited amount of encoded information, we argue that it will be impossible to recreate any sensitive user-specific information.
Starting Page 51
Ending Page 56
Page Count 6
File Format PDF
ISBN 9781450301978
DOI 10.1145/1851322.1851336
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-08-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Distributed hash tables (dhts) Mobile user privacy Location based services (lbs)
Content Type Text
Resource Type Article
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