• DocumentCode
    3728470
  • Title

    SlackStick: Signature-Based File Identification for Live Digital Forensics Examinations

  • Author

    Rob Hegarty;John Haggerty

  • Author_Institution
    Sch. of Comput., Math. &
  • fYear
    2015
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    A digital forensics investigation may involve procedures for both live forensics and for gathering evidence from a device in a forensics laboratory. Due to the focus on capturing volatile data during a live forensics investigation, tools have been developed that are aimed at capturing specific data surrounding state information. However, there may be circumstances whereby non-volatile data analysis, such as the identification of files of interest, is also required. In such an investigation, the ability to use file-wise, or hash, signatures is precluded due to pre-processing requirements by the forensics tools. Therefore, this paper presents SlackStick, a novel automated approach run from a USB memory device for the identification of files of interest or non-volatile evidence triage using an alternative signature scheme. Moreover, the approach may be used by inexpert users during a first-response phase of an investigation. The results of the case study presented in this paper demonstrate the applicability of the approach.
  • Keywords
    "Operating systems","File systems","Digital forensics","Computers","Object recognition"
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2015 European
  • Type

    conf

  • DOI
    10.1109/EISIC.2015.28
  • Filename
    7379719