Applied Mathematics & Information Sciences
An End-user Tailorable Generic Framework for Privacy-preserving Location-based Mobile Applications
In this paper, we discuss the emerging need for supporting end-user tailorability and privacy with respect to collaborative location-based applications in mobile environments. We present a generic privacy-preserving framework for supporting such end-user tailorability on both user interface and server-side ends. The requirements were compiled from various use cases of collaborative location-based scenarios from various projects and related literature. The outcome results of this work demonstrates the feasibility of our proposed framework by means of an iOS based prototype applied to previous iAngle and iFishWatcher research projects. The significance of this prototype that it allows different communities to define their own points of interest in a generic manner. Additionally, the distributed architecture can be tailored according to user privacy requirements.
el Diehn I. Abou-Tair, Dhiah; Bourimi, Mohamed; Tesoriero, Ricardo; Heupel, Marcel; Heupel, Marcel; and Kesdogan, Dogan
"An End-user Tailorable Generic Framework for Privacy-preserving Location-based Mobile Applications,"
Applied Mathematics & Information Sciences: Vol. 07:
6, Article 4.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/4