Efficient Sensitive Data Gathering with Forensic Analysis of Android Operating System

Autor: F. Dian, J. Hudec
Rok vydání: 2019
Předmět:
Zdroj: 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA).
DOI: 10.1109/iceta48886.2019.9040136
Popis: In modern world, mobile device for its user is one of the most important objects he uses daily. Such a device then contains a lot of information him and his behavior. For example, contact information, call lists, text and other communications (text messages, email, social networks), location information, or own multimedia content. In the event of their acquisition, such information may be used in criminal investigations, corporate events or, in special cases, in detecting successful attacks. We analyze what types of data are stored on mobile devices and how they can be obtained. This work focuses on Android architecture, mainly on its memory structure and data handling. It also describes its own data acquisition techniques using forensic analysis of given system and proposes an approach, which can be used to implement application that will access system resources and get useful data. These data are then interpreted appropriately and obtained results are developed in form of a forensic review, also applicable for teaching purposes.
Databáze: OpenAIRE