• DocumentCode
    113429
  • Title

    Android forensics: Correlation analysis

  • Author

    Kasiaras, Dimitrios ; Zafeiropoulos, Thomas ; Clarke, Nathan ; Kambourakis, Georgios

  • Author_Institution
    Univ. of the Aegean, Karlovasi, Greece
  • fYear
    2014
  • fDate
    8-10 Dec. 2014
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    With over 6 billion mobile phone subscribers, it is inevitable that such devices will be involved in criminal activities. Furthermore, the evolution of smartphones has changed the way people use their mobile phones in their everyday life. That is, a huge variety of services exist in the device that can be exploited for either perpetrating a criminal activity or being the subject of the crime. By conducting an analysis of existing forensic tools and the literature, it became evident that there is a significant lack of advanced tools that enable the correlation among the various events of forensic interest in order to facilitate an investigation and reduce the cognitive load on the analyst side. Motivated by this fact, the paper at hand proposes a novel tool that incorporates strong mechanisms to forensically analyze an Android device, aiming to reduce the workload of the investigator through advanced and intelligent correlation and visualization.
  • Keywords
    data visualisation; digital forensics; smart phones; Android device; Android forensics; cognitive load; correlation analysis; criminal activities; intelligent correlation; intelligent visualization; mobile phone subscribers; smartphones; Correlation; Databases; File systems; Forensics; Internet; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions (ICITST), 2014 9th International Conference for
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/ICITST.2014.7038797
  • Filename
    7038797