Forensic taxonomy of android productivity apps
Autor: | Kim-Kwang Raymond Choo, Abdullah Azfar, Lin Liu |
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Přispěvatelé: | Azfar, Abdullah, Choo, Kim-Kwang Raymond, Liu, Lin |
Rok vydání: | 2016 |
Předmět: |
Mobile device forensics
ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATION forensic taxonomy GeneralLiterature_INTRODUCTORYANDSURVEY Computer Networks and Communications Computer science End user forensic science mobile app forensics Digital forensics digital forensics 020207 software engineering 02 engineering and technology Forensic science World Wide Web productivity app taxonomy Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Android (operating system) mobile forensics Mobile device Software |
Zdroj: | Multimedia Tools and Applications. 76:3313-3341 |
ISSN: | 1573-7721 1380-7501 |
DOI: | 10.1007/s11042-016-3718-2 |
Popis: | Android productivity apps have provided the facility of having a constantly accessible and productive workforce to the information and work capabilities needed by the users. With hundreds of productivity apps available in the Android app market, it is necessary to develop a taxonomy for the forensic investigators and the end users to allow them to know what personal data remnants are available from the productivity apps. In this paper, 30 popular Android productivity apps were examined. A logical extraction of the Android phone was collected by using a well-known mobile forensic tool- XRY to extract various information of forensic interest such as user email ID and list of tasks. Based on the findings, a two-dimensional taxonomy of the forensic artefacts of the productivity apps is proposed with the app categories in one dimension and the classes of artefacts in the other dimension. The artefacts identified in the study of the apps are summarised using the taxonomy. In addition, a comparison with the existing forensic taxonomies of different categories of Android apps is provided to facilitate timely collection and analysis of evidentiary materials from mobile devices. Refereed/Peer-reviewed |
Databáze: | OpenAIRE |
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