• DocumentCode
    653264
  • Title

    Moments in Time: A Forensic View of Twitter

  • Author

    Howden, Chris ; Lu Liu ; ZhiJun Ding ; Yongzhao Zhan ; Lam, K.P.

  • Author_Institution
    Sch. of Comput. & Math., Univ. of Derby, Derby, UK
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    899
  • Lastpage
    908
  • Abstract
    Online social networks have become a ubiquitous and important part of the modern, developed society. Modifications in social conduct within these often forced closed spaces are noted, these side effects well documented. The potential for evidence gathering and research into changing human behaviour and social norms is undoubted, but the networks pose significant problems to digital forensic investigators that are not experienced offline. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. This paper will examine the background to social networking sites, potential behaviour sets experienced on-line and the application of current law and forensic methodologies. This paper will then take a view of the social networking site Twitter by adopting a formal approach to the examination, extraction and analysis of data. This paper will identify a known problem, status removal and offer a novel, yet simple method for determining what has been removed.
  • Keywords
    data analysis; digital forensics; social networking (online); Twitter; data analysis; data examination; data extraction; digital forensic investigators; human behaviour; online social networks; social conduct; social norms; Computational modeling; Data mining; Data models; Digital forensics; Twitter; Cloud Computing; Digital Forensics; Online Social Networks; Social Network Forensic Analysis; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.157
  • Filename
    6682171