Philippe Pucheral

Ali Ncibi, Luc Bouganim, Philippe Pucheral

This demo showcases a platform for developing human activity recognition (AR) systems, focusing on daily activities using sensor data, like binary sensors. With a data-driven approach, this platform, named FlowAR, features a three-step pipeline (flow): data cleaning, segmentation, and personalized classification. Its modularity allows flexibility to test methods, datasets, and ensure rigorous evaluations. A concrete use case demonstrates its effectiveness.

Quoc-Cuong To, Benjamin Nguyen, Philippe Pucheral

The aim of this technical report is to complement the work in [To et al. 2014] by proposing a Group Key Exchange protocol so that the Querier and TDSs (and TDSs themselves) can securely create and exchange the shared key. Then, the security of this protocol is formally proved using the game-based model. Finally, we perform the comparison between this protocol and other related works.