Location Privacy in location-aware applications

PROBE is a framework for the protection of sensitive locations in location-based services. A sensitive location is for example a hospital or a religious building. PROBE provides a computational privacy model to protect sensitive locations against probabilistic inferences in spaces of non-uniformly distributed locations. Main features:

  • Model of sensitive locations in spaces of non-uniformly distributed positions
  • Location sensitivity metric and utility metrics
  • Sensitive location cloaking algorithms
  • Protection against velocity-based linkage attacks
  • Extension to road network spaces

Papers.

  • G. Ghinita, M.L. Damiani, C. Silvestri, E. Bertino (2016). Protecting Against Velocity-based, Proximity-based and External Event Attacks in Location-Centric Social Networks. ACM Transactions on Spatial Algorithms and Systems
  • M.L. Damiani (2014). Location privacy models in mobile applications: conceptual view and research direction. GeoInformatica,18(4)
  • E. Yigitoglu, M.L. Damiani, O. Abul, C. Silvestri (2012). Privacy-preserving sharing of sensitive semantic locations under road-network constraints. IEEE MDM
  • M.L. Damiani, C. Cuijpers (2012). Privacy-aware geolocation interfaces: a case study. ACM SIGSPATIAL Workshop on Crowdsourced and Volonteered Geography
  • M.L. Damiani. M. Galbiati (2012). Handling user-defined private contexts for location privacy in LBS, ACM SIGSPATIAL'12
  • C. Silvestri, E. Yigitoglu, M.L. Damiani, O. Abul (2012). SAWLnet: Sensitivity AWare Location cloaking on road-NETworks. IEEE MDM.
  • M.L. Damiani, C. Silvestri, E. Bertino (2011). Fine-grained location cloaking of sensitive positions in location sharing applications (2011). IEEE Pervasive Computing, vol. 10 no. 4
  • M.L. Damiani, C. Silvestri, E. Bertino (2010). Analyzing semantic location cloaking techniques in a probabilistic grid-based map). ACM SIGSPATIAL
  • M.L. Damiani, E. Bertino, C. Silvestri (2010). The PROBE framework for the personalized cloaking of private locations, Transactions on Data Privacy, 2010
  • G. Ghinita, M.L. Damiani, C. Silvestri, E. Bertino (2009), Preventing Velocity-based Linkage Attacks in Location-Aware Applications, ACM SIGSPATIAL 2009
  • M.L. Damiani, E. Bertino, C. Silvestri (2009). Protecting Location Privacy Against Spatial Inferences: the PROBE approach. 2nd ACM SIGSPATIAL Workhop on Security and Privacy in GIS and LBS, Seattle (US), Nov 2009
  • G. Ghinita, M.L. Damiani, E. Bertino, C. Silvestri (2009). Interactive Location Cloaking with the PROBE Obfuscator, IEEE MDM
  • M.L. Damiani, C. Silvestri, E. Bertino (2008). Semantics-aware Obfuscation for Location Privacy. Journal of Computing Science and Engineering, Vol. 2, n.2
  • M. L. Damiani, E. Bertino, C. Silvestri (2008). Protecting Location Privacy through Semantics-aware Obfuscation Techniques. Proc. IFIPTM 2008 Conferences on Privacy, Trust Management and Security, Trondheim (Norway)

Prototype.

* The SAWL platform integrates the simulation environment, the heuristics and the utility measures. SAWL supports the evaluation and comparison of such heuristics over different populations and privacy profiles assuming an Euclidean space. SAWL is written in Java (http://www.silv.eu/SAWL). SAWLnet is the extended version of the prototype for the protection of sensitive positions along road network spaces (IEEE MDM 2012).

Awards.

  • Best demo paper, ACM SIGSPATIAL 2012, jointly with M. Galbiati, USA
  • Best demo presentation, IEEE MDM 2012, jointly with E. Yigitoglu et al., India
  • Best paper (runner up), ACM SIGSPATIAL 2009, with G. Ghinita, E. Bertino, C. Silvestri, USA
start/privacy.txt · Last modified: 2016/07/29 20:03 by Maria Luisa Damiani
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