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- W2105136957 abstract "Despite the commercial success of Location-Based Services (LBS), the sensitivity of the data they manage, specially those concerning the user's location, makes them a suitable target for geo-location inference attacks. These attacks are a new variant of traditional inference attacks aiming at disclosing personal aspects of users' life from their geo-location datasets. Since this threat might dramatically compromise the privacy of users, and so the confidence of LBS, a deeper knowledge of geo-location inference attacks becomes essential to protect LBS. To contribute to this goal, this short paper makes a step forward to model well-known types of geo-location inference attacks as a previous step to quantitatively assess the privacy risk they pose." @default.
- W2105136957 created "2016-06-24" @default.
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- W2105136957 date "2014-05-01" @default.
- W2105136957 modified "2023-09-25" @default.
- W2105136957 title "Geo-Location Inference Attacks: From Modelling to Privacy Risk Assessment (Short Paper)" @default.
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- W2105136957 doi "https://doi.org/10.1109/edcc.2014.32" @default.
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