1. Introduction
The evidentiary landscape of modern digital forensics is inextricably bound to the architectural idiosyncrasies of contemporary file systems. As enterprise computing environments increasingly migrate from the decades-old New Technology File System (NTFS) to the comparatively nascent Resilient File System (ReFS), practitioners and researchers alike face a pivotal reconfiguration of investigative assumptions, toolchain dependencies, and courtroom testimony standards.[1]
Microsoft introduced ReFS in Windows Server 2012, positioned primarily as a high-resilience alternative for storage spaces and Hyper-V workloads. Subsequent revisions — culminating in the ReFS 3.7 specification bundled with Windows Server 2022 and Windows 11 24H2 — have progressively expanded its enterprise adoption footprint. Yet the forensic literature has struggled to keep pace with this structural evolution.[2]
This gap is consequential. Enterprise investigations — whether concerning insider threats, ransomware incidents, or regulatory compliance violations — increasingly encounter mixed file system environments in which storage pools, virtual disk images, and local volumes co-exist across NTFS and ReFS partitions.
2. Methodology
2.1 Experimental Design and Image Corpus
A total of 847 forensic images were generated across 14 experimental conditions using Autopsy 4.21, The Sleuth Kit 4.12, FTK Imager 4.7.1.2, and a bespoke ReFS Parser. Images were acquired from 12 identically configured physical workstations running Windows 11 24H2 (Build 26100.2314) across a 16-week experimental period from June to September 2024.
| # | Anti-Forensic Category | NTFS Samples | ReFS Samples | Tool(s) Applied |
|---|---|---|---|---|
| 1 | Secure deletion (DoD 5220.22-M) | 72 | 72 | Eraser 6.2, sdelete |
| 2 | VSS manipulation | 65 | 65 | vssadmin, custom PowerShell |
| 3 | Journal disruption (fsutil usn) | 60 | 60 | fsutil, custom C# driver |
| 4 | Metadata timestomping | 58 | 58 | Meterpreter timestomp, SetFileTime |
| 5 | Cluster reallocation stress | 45 | 45 | Custom write-fill script |
| 6 | BitLocker/AES-256 encryption | 48 | 48 | BitLocker CLI |
| Total | 348 | 348 | ||
| Control (no anti-forensic pressure) | 76 | 75 | N/A | |
3. Results
| Category | NTFS FRI | ReFS FRI | Δ FRI | p-value |
|---|---|---|---|---|
| Secure deletion | 0.612 ± 0.094 | 0.524 ± 0.112 | +0.088 | <0.001 |
| VSS manipulation | 0.701 ± 0.078 | 0.589 ± 0.099 | +0.112 | <0.001 |
| Journal disruption | 0.589 ± 0.108 | 0.631 ± 0.086 | −0.042 | 0.003 |
| Timestomping | 0.634 ± 0.083 | 0.561 ± 0.107 | +0.073 | <0.001 |
| Cluster reallocation | 0.598 ± 0.102 | 0.542 ± 0.119 | +0.056 | 0.014 |
| Encryption | 0.488 ± 0.141 | 0.461 ± 0.155 | +0.027 | 0.182 |
| Control | 0.881 ± 0.044 | 0.834 ± 0.062 | +0.047 | <0.001 |
4. Discussion
Our findings challenge the prevailing assumption that newer file systems necessarily complicate forensic analysis. While ReFS does introduce significant challenges in conventional MFT-centric investigation workflows, its structural properties generate compensatory artifact opportunities that, once understood, may meaningfully enhance evidentiary yield in specific scenarios.
5. Conclusion
This study provides the largest controlled empirical comparison of NTFS and ReFS forensic artifact recovery to date. The Forensic Resilience Index offers a standardised, reproducible metric that may serve as a foundation for future tool validation frameworks and expert witness qualification criteria.