An anonymous communication technique using dummies for location-based services

By Hidetoshi Kido, Yutaka Yanagisawa, Tetsuji Satoh. ICPS '05. Proceedings. International Conference on Pervasive Services, 2005., 2005

804 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a3a6764ae00bbcf70a81425c33816102c0268653

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Citations in the corpus

A survey of computational location privacy (2009, methodology): “[34] examine this technique and speculate on how to make the false locations realistic and how to”
Protecting Locations with Differential Privacy under Temporal Correlations (2014, methodology): “re. They generally use obfuscation methods, such as spatial cloaking, cell merging, location precision reduction or dummy cells, to achieve anonymity based privacy or uncertainty based privacy (e.g., [4, 11, 20, 30]). However, anonymity or ad hoc uncertainty based techniques do not always provide su”
Achieving k-anonymity in privacy-aware location-based services (2014, methodology): “, how to choose the dummy locations? Most existing works [7], [4] rely on random-based method or the random walk model.”
SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services (2008, background): “The cloaked region has also been represented by a point set containing q and a number of dummy locations (generated by the client) [7].”
The new Casper: query processing for location services without compromising privacy (2006, background): “Motivated by the privacy threats of location-detection devices [1, 6, 8, 44], several research eﬀorts are dedicated to protect the user location privacy (e.g., false dummies [27], landmark objects [21], and location perturbation [13, 16, 17]).”
Computing with Spatial Trajectories (2011, methodology): “The second approach uses multiversion structures, such as MR-tree [37], HR-tree [24], HR+-tree [33], and MV3R-tree [34].”
Trajectory Data Mining (2015, background): “…[Mokbel et al. 2007], mix zones [Beresford ACM Transactions on Intelligent Systems and Technology, Vol. 6, No. 3, Article 29, Publication date and Stajano 2003], path confusion [Hoh et al. 2010], Euler histogram based on short IDs [Xie et al. 2010], dummy trajectories [Kido et al. 2005], and so on.”