A Privacy - Learning Objects Identity System for Smartphones Based on a Virtual Learning Environment Database

Smartphones are widely used today, with many features such as GPS map navigation, capturing photos with camera equipment such as digital camera, internet connection via wifi or 3G devices that function as computers. These devices are being used for various purposes including online learning, where learners can study from anywhere and anytime for example in the street, home, office and school. However, identifing a method by which teachers in these virtural environements can remember their learners "faces" in the classroom or manage "Identification Number Student" (ID student or user) is not reliable when the teacher cannot see all of the learners in the class or know who is online from a particular account. In this paper, we propose a system, Android Virtual Learner Identify (AVLI), which collects images captured by the face of the learning object directly from the camera, the location of the learner by identifing where the learner is studying and configuration of information including Time, Mac, IP addresses, IMEI number and location via GPS. The systen then saves learner profiles to help the teacher or education managers on the Virtual Learning Environment (VLE) identify learning object. We used the VLE that we built on mobile.ona.vn domain. We implemented the AVLI prototype Android phone with solution password encryption and images taken directly from the camera to ensure that the information is transmitted and stored securely in the Virtual Learning Environment System Database (VLE Data) of learning objects while preserving the ability to identify learning objects by a teacher or education manager.

In addition, we solve the problem of image size on a smartphone device by compressing images. We demonstrate our solution which is secure enough to prevent fraud of the learner as well as the transmission of data from the client device to the server with three layers of protection by taking images directly from the camera, converting images from string and encoding them before transmission.