Enhancing DFIR in orchestration Environments: Real-time forensic framework with eBPF for windows

Philgeun Jin, Namjun Kim, Doowon Jeong

Research output: Contribution to journalArticlepeer-review

Abstract

Digital forensic investigations in Windows orchestration environments face critical challenges, including the ephemeral nature of containers, dynamic scaling, and limited visibility into low-level system events. Traditional event log-based approaches often fail to capture essential kernel-level artifacts such as process creation, file I/O, and registry modifications. To overcome these limitations, this paper introduces a novel DFIR framework that leverages eBPF to enable real-time kernel-level monitoring in containerized environments. Building on Microsoft's Windows eBPF project, we developed custom eBPF extensions tailored for DFIR. Aligned with NIST SP 800-61 guidelines, the proposed framework integrates unified workflows for preparation, detection, containment, and recovery through a centralized management console. Through case studies of cryptocurrency mining, ransomware, and blue screen of death attacks, we demonstrate our framework's ability to identify malicious processes that traditional event log-based methods might miss, while confirming minimal system overhead and high compatibility with existing orchestration platforms.

Original languageEnglish
Article number301923
JournalForensic Science International: Digital Investigation
Volume53
DOIs
StatePublished - Jul 2025

Keywords

  • Container forensics
  • Incident response
  • Kernel-level monitoring
  • Orchestration environments
  • Windows eBPF

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