TY - JOUR
T1 - Enhancing DFIR in orchestration Environments
T2 - Real-time forensic framework with eBPF for windows
AU - Jin, Philgeun
AU - Kim, Namjun
AU - Jeong, Doowon
N1 - Publisher Copyright:
© 2025
PY - 2025/7
Y1 - 2025/7
N2 - 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.
AB - 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.
KW - Container forensics
KW - Incident response
KW - Kernel-level monitoring
KW - Orchestration environments
KW - Windows eBPF
UR - https://www.scopus.com/pages/publications/105010853997
U2 - 10.1016/j.fsidi.2025.301923
DO - 10.1016/j.fsidi.2025.301923
M3 - Article
AN - SCOPUS:105010853997
SN - 2666-2825
VL - 53
JO - Forensic Science International: Digital Investigation
JF - Forensic Science International: Digital Investigation
M1 - 301923
ER -