Privacy using mobile cloud

Autor: BOU ABDO, Jacques, DEMERJIAN, JACQUES, Chaouchi, Hakima, Atechian, Talar, Bassil, Carole
Přispěvatelé: Faculty of Natural and Applied Sciences (Notre Dame University ) (NDU, Lebanon), Faculté de Génie / Faculty of Engineering (Université Libanaise), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), Faculty of Engineering (Antonine University ), Faculty of Sciences [Lebanese University], Lebanese University [Beirut] (LU)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Proceedings DICTAP 2015 : 5th International Conference on Digital Information and Communication Technology and its Applications
DICTAP 2015 : 5th International Conference on Digital Information and Communication Technology and its Applications
DICTAP 2015 : 5th International Conference on Digital Information and Communication Technology and its Applications, Apr 2015, Beirut, Lebanon. pp.178-182, ⟨10.1109/DICTAP.2015.7113194⟩
Popis: International audience; Crowdsourcing mobile applications are of increasing importance due to their suitability in providing personalized and better matching replies. Crowdsourcing location based services inherit the querying mechanism from its legacy predecessors and this is where the threat lays. In this paper we are going to prove mathematically that the mechanism with highest privacy level "Footprint" does not satisfy the privacy level needed by crowdsourced location based services and then prove that higher privacy level and lower overhead is achieved when these services are implemented in Operator centric mobile cloud architecture
Databáze: OpenAIRE