… privacy problem of both TBL clients and localization server in WiFi fingerprint based indoor
localization … can protect both location privacy of TBL clients and data privacy of the fingerprint …

… ’s location privacy of training the indoor localization model in … a differential privacypreserving
indoor localization mechanism. … in the location privacy-preserving mechanism for EC indoor …

… • To the best of our knowledge, we design the first framework for indoor location privacy that
… ) location privacy. In contrast to outdoor location privacy, the proposed framework, Indoor …

… utilization of indoor location big data collected by leveraging LDP for the most common
task in indoor location-based services: estimation of the density of the specified indoor location. …

… version of differential privacy. We extend the standard definition to the indoor WiFi fingerprint
… With a given privacy budget, the proposed method generalizes the original dataset, and …

… their privacy. This paper proposes a novel privacy-aware framework for aggregating the
indoor location data employing the Local Differential Privacy (LDP) technique, in which the user …

… We assume that the current indoor location of each user can be measured by beacon-based
approaches, such as [6]. Given a spatial hierarchy H, let us consider a parent …

… [45] concentrate on passive Wi-Fi readings to estimate indoor location on the user’s
device in a method they call beacon-based fingerprinting. A modelbased signal propagation …

… In this paper, we mainly concentrate on location privacy disclosure of ML-based indoor
localization model training in edge–cloud collaboration system. From the users’ perspective, the …

… location privacy and data privacy could be disclosed in the above three kinds of indoor
localization … a data perturbation mechanism based on differential privacy in the next section. …