Towards reliable spatial information in LBSNs

Authors:
Ke Zhang;Wei Jeng;Francis Fofie;Konstantinos Pelechrinis;Prashant Krishnamurthy
Affiliations:
University of Pittsburgh;University of Pittsburgh;University of Pittsburgh;University of Pittsburgh;University of Pittsburgh
Venue:
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Year:
2012

Citing 7
Cited 1

Expertise networks in online communities: structure and algorithms

Proceedings of the 16th international conference on World Wide Web
Enabling new mobile applications with location proofs

Proceedings of the 10th workshop on Mobile Computing Systems and Applications
I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Location Cheating: A Security Challenge to Location-Based Social Network Services

ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Learning location naming from user check-in histories

Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Daily deals: prediction, social diffusion, and reputational ramifications

Proceedings of the fifth ACM international conference on Web search and data mining
Computing with Spatial Trajectories

Computing with Spatial Trajectories

ACM HotMobile 2013 poster: detecting fake check-ins in location-based social networks through honeypot venues

ACM SIGMOBILE Mobile Computing and Communications Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

The proliferation of Location-based Social Networks (LBSNs) has been rapid during the last year due to the number of novel services they can support. The main interaction between users in an LBSN is location sharing, which builds the spatial component of the system. The majority of the LBSNs make use of the notion of check-in, to enable users to volunteeringly share their whereabouts with their peers and the system. The flow of this spatial information is unidirectional and originates from the users' side. Given that currently there is no infrastructure in place for detecting fake checkins, the quality of the spatial information plane of an LBSN is solely based on the honesty of the users. In this paper, we seek to raise the awareness of the community for this problem, by identifying and discussing the effects of the presence of fake location information. We further present a preliminary design of a fake check-in detection scheme, based on location-proofs. Our initial simulation results show that if we do not consider the infrastructural constraints, location-proofs can form a viable technical solution.