Aplicación móvil con sensores de movimiento y posición para el cifrado de información personal en dispositivos móviles

Abstract

In recent years, the capabilities of mobile devices have been increasing, along with the emergence of problems such as data theft and identity fraud. Today, all users have a mobile device that generates a high level of interest for attackers. This broad interest is due to the fact that users store documents, photos or videos without using protection mechanisms.

The objective of this project is to implement a mobile application focused on encrypting data stored locally, through a mechanism that is executed through movement patterns captured by device sensors or through direct user commands. The objective is to mitigate problems related to data exposure and theft through the internet or through device theft, which would compromise the personal integrity of users. In designing the mobile application, the MADLC methodology and Kanban were used to track the activities carried out during development, along with the MVVM architecture to create the project structure, due to its adaptability with Android Studio and real-time communication between data and interfaces. Additionally, Cipher was used to encrypt or decrypt data, in conjunction with two integrated sensors (accelerometer, orientation) to recognize the movement pattern.