Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Information  /  Vol: 8 Par: 3 (2017)  /  Artículo
ARTÍCULO
TITULO

Pokémon GO Forensics: An Android Application Analysis

Joshua Sablatura and Umit Karabiyik    

Resumen

As the geolocation capabilities of smartphones continue to improve, developers have continued to create more innovative applications that rely on this location information for their primary function. This can be seen with Niantic?s release of Pokémon GO, which is a massively multiplayer online role playing and augmented reality game. This game became immensely popular within just a few days of its release. However, it also had the propensity to be a distraction to drivers, resulting in numerous accidents, and was used as a tool by armed robbers to lure unsuspecting users into secluded areas. This facilitates the need for forensic investigators to be able to analyze the data within the application in order to determine if it may have been involved in these incidents. Because this application is new, limited research has been conducted regarding the artifacts that can be recovered from the application. In this paper, we aim to fill the gaps within the current research by assessing what forensically-relevant information may be recovered from the application and understanding the circumstances behind the creation of this information. Our research focuses primarily on the artifacts generated by the Upsight analytics platform, those contained within the bundles directory and the Pokémon Go Plus accessory. Moreover, we present our new application-specific analysis tool that is capable of extracting forensic artifacts from a backup of the Android application and presenting them to an investigator in an easily-readable format. This analysis tool exceeds the capabilities of the well known mobile forensic tool Cellebrite?s UFED (Universal Forensic Extraction Device) Physical Analyzer in processing Pokémon GO application data.

 Artículos similares

       
 
Ahmad Satibi,Daniel Julianto Tarigan,Andre Aprinaldo,Ahmad Beryliumsyah Ikmaludin,Wildan Aprizal Arifin,Hari Din Nugraha     Pág. 126 - 137
Smartphone users are increasing every year. This increase is due to the functions of smartphone technology, which help a lot to meet the needs of the community, social media, entertainment, shopping, work, managing finances, health and education. This mu... ver más
Revista: Invotec

 
Evgenia Trushkina,Dmitry Namiot     Pág. 99 - 114
The article discusses one approach to organizing data exchange between closely spaced mobile devices, which does not require a direct connection between devices and does not use third-party (cloud) storage. The article was written based on the results of... ver más

 
Muhammad Waqar, Imran, Muhammad Atif Zaman, Muhammad Muzammal and Jungsuk Kim    
Regression testing ensures that modified software code changes have not adversely affected existing code modules. The test suite size increases with modification to the software based on the end-user requirements. Regression testing executes the complete... ver más
Revista: Applied Sciences

 
Mohammed N. AlJarrah, Qussai M. Yaseen and Ahmad M. Mustafa    
The Android platform has become the most popular smartphone operating system, which makes it a target for malicious mobile apps. This paper proposes a machine learning-based approach for Android malware detection based on application features. Unlike man... ver más
Revista: Information

 
Antonio Sarasa-Cabezuelo and Covadonga Rodrigo    
Software engineering is a complicated subject for computer engineering students since the explained knowledge and necessary competencies are more related to engineering as a general knowledge area than to computer science. This article describes a softwa... ver más
Revista: Computers