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Archival Research

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...

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Standardized Method for Measuring Collection Efficiency from Wipe-sampling of Trace Explosives

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Published on: April 10, 2017

A reference database of Windows artifacts for file-wiping tool execution analysis.

Dabin Joo¹, Jiwon Lee¹, Doowon Jeong¹

¹College of Police and Criminal Justice, Dongguk University, Seoul, South Korea.

Journal of Forensic Sciences

|April 5, 2023

Summary

This summary is machine-generated.

This study comprehensively analyzes file-wiping tool traces across 13 Windows artifacts. Findings help forensic investigators detect file-wiping activities and improve digital evidence collection.

Keywords:

Windows artifcacts anti-forensics database file-wiping tool

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Area of Science:

Digital Forensics
Computer Science

Background:

Anti-forensic technologies, like file-wiping, hinder digital investigations by permanently erasing data.
Previous research often focused on specific file system components ($MFT, $LogFile, $DATA) rather than broader Windows artifacts.

Purpose of the Study:

To comprehensively analyze the traces left by 10 file-wiping tools across 13 Windows artifacts.
To provide a systematic understanding of anti-forensic tool impact on common digital evidence sources.

Main Methods:

Experimentally deployed 10 distinct file-wiping tools on separate Windows virtual machines.
Systematically examined 13 Windows artifacts for residual traces left by each tool.
Organized findings into a structured database for analysis.

Main Results:

Most file-wiping tools left detectable traces in various Windows artifacts.
JumpList, Open&SavePidlMRU, and lnk artifacts showed fewer traces, though exceptions existed.
Traces were identified across a majority of the examined artifacts, indicating potential for detection.

Conclusions:

The study provides a comprehensive reference for identifying file-wiping tool usage in digital forensics.
Findings aid forensic investigators in making informed decisions regarding evidence collection and triage.
This research enhances the ability to detect anti-forensic activities in digital investigations.