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
Link To Document