Biometric data on the edge for secure, smart and user tailored access to cloud services

We are living an era in which each of us is immersed in a fully connected environment. The smart devices worn everyday by everyone let the users be projected into the so called IoT world, whose main aim is to provide tools and strategies to solve problems of everyday life as well as to improve well-being and quality of life. Such a goal can be achieved in several ways, but consumer specific services should be provided according to their daily habits, as well as temporary needs. This can be made possible by current mobile devices and their built-in sensors, which can infer the context where the owner operates and the performed activities to build up a user profile. In this work, an architecture for cloud services supply is proposed, based on subject continuous authentication and context (status/activity) recognition. A subject and the context are authenticated/recognised by means of the cyclic recognition of signals captured by the sensors of his/her smartphone, e.g., accelerometer and gyroscope. In order to test the accuracy of the proposed context recognition, the H-MOG dataset has been used, which provides joint acquisitions of status data (Sitting or Walking) related to the activity performed (Reading, Writing, or Navigating Map)