Loading…

On-the-spot digital investigation by means of LDFS: Live Data Forensic System

The ever growing capacity of hard drives poses a severe problem to forensic practitioners who strive to deal with digital investigations in a timely manner. Therefore, the on-the-spot digital investigation paradigm is emerging as a new standard to select only that evidence which is important for the...

Full description

Saved in:
Bibliographic Details
Published in:Mathematical and computer modelling 2012, Vol.55 (1), p.223-240
Main Authors: Lim, Kyung-Soo, Savoldi, Antonio, Lee, Changhoon, Lee, Sangjin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The ever growing capacity of hard drives poses a severe problem to forensic practitioners who strive to deal with digital investigations in a timely manner. Therefore, the on-the-spot digital investigation paradigm is emerging as a new standard to select only that evidence which is important for the case being investigated. In the light of this issue, we propose an incident response tool which is able to speed up the investigation by finding crime-related evidence in a faster way compared with the traditional state-of-the-art post-mortem analysis tools. The tool we have implemented is called Live Data Forensic System (LDFS). LDFS is an on-the-spot live forensic toolkit, which can be used to collect and analyze relevant data in a timely manner and to perform a triage of a Microsoft Windows-based system. Particularly, LDFS demonstrates the ability of the tool to automatically gather evidence according to general categories, such as live data, Windows Registry, file system metadata, instant messaging services clients, web browser artifacts, memory dump and page file. In addition, unified analysis tools of ELF provide a fast and effective way to obtain a picture of the system at the time the analysis is done. The result of the analysis from different categories can be easily correlated to provide useful clues for the sake of the investigation.
ISSN:0895-7177
1872-9479
DOI:10.1016/j.mcm.2011.05.019