Visible to the public Privacy versus Location Accuracy in Opportunistic Wearable Networks

TitlePrivacy versus Location Accuracy in Opportunistic Wearable Networks
Publication TypeConference Paper
Year of Publication2020
AuthorsShubina, Viktoriia, Ometov, Aleksandr, Andreev, Sergey, Niculescu, Dragos, Lohan, Elena Simona
Conference Name2020 International Conference on Localization and GNSS (ICL-GNSS)
PublisherIEEE
ISBN Number978-1-7281-6455-7
Keywordscompositionality, Human Behavior, intentional errors, Location Accuracy, location privacy, Location Privacy in Wireless Networks, measurement errors, Metrics, obfuscation, Opportunistic Networks, pubcrawl, resilience, Resiliency, wearable, wireless networks
AbstractFuture wearable devices are expected to increasingly exchange their positioning information with various Location-Based Services (LBSs). Wearable applications can include activity-based health and fitness recommendations, location-based social networking, location-based gamification, among many others. With the growing opportunities for LBSs, it is expected that location privacy concerns will also increase significantly. Particularly, in opportunistic wireless networks based on device-to-device (D2D) connectivity, a user can request a higher level of control over own location privacy, which may result in more flexible permissions granted to wearable devices. This translates into the ability to perform location obfuscation to the desired degree when interacting with other wearables or service providers across the network. In this paper, we argue that specific errors in the disclosed location information feature two components: a measurement error inherent to the localization algorithm used by a wearable device and an intentional (or obfuscation) error that may be based on a trade-off between a particular LBS and a desired location privacy level. This work aims to study the trade-off between positioning accuracy and location information privacy in densely crowded scenarios by introducing two privacy-centric metrics.
URLhttps://ieeexplore.ieee.org/document/9115424
DOI10.1109/ICL-GNSS49876.2020.9115424
Citation Keyshubina_privacy_2020