Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Manos Katsomallos"'
Publikováno v:
Journal of Spatial Information Science, Vol 2019, Iss 19, Pp 57-103 (2019)
Sensors, portable devices, and location-based services, generate massive amounts of geo-tagged, and/or location- and user-related data on a daily basis. The manipulation of such data is useful in numerous application domains, e.g., healthcare, intell
Externí odkaz:
https://doaj.org/article/965ff378e460436291bb640ea1a0d7fa
Publikováno v:
Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy.
Publikováno v:
Journal of Spatial Information Science, Vol 2019, Iss 19, Pp 57-103 (2019)
Journal of Spatial Information Science
Journal of Spatial Information Science, 2019, ⟨10.5311/JOSIS.2019.19.493⟩
Journal of Spatial Information Science
Journal of Spatial Information Science, 2019, ⟨10.5311/JOSIS.2019.19.493⟩
Sensors, portable devices, and location-based services, generate massive amounts of geo-tagged, and/or location- and user-related data on a daily basis. The manipulation of such data is useful in numerous application domains, e.g., healthcare, intell
Publikováno v:
PerCom Workshops
Preserving user privacy is crucial for the wide adoption of crowdsensing and participatory sensing applications that rely on personal devices. Currently, each application comes with its own hardwired and possibly undocumented privacy support (if any)
Autor:
Spyros Lalis, Manos Katsomallos
Publikováno v:
PerCom Workshops
In this paper we present a first prototype of the EasyHarvest framework, which aims to simplify the deployment and controlled execution of large-scale sensing applications on smartphones. On the one hand, application owners submit to a server sensing