journal article·2025-09-10Open access

Enhancing Traditional Reactive Digital Forensics to a Proactive Digital Forensics Standard Operating Procedure (P-DEFSOP): A Case Study of DEFSOP and ISO 27035

Hung-Cheng Yang, I-Long Lin, Yung-Hung Chao

Applied Sciences· Volume 15· Issue 18

Abstract

With the growing intensity of global cybersecurity threats and the rapid advancement of attack techniques, strengthening enterprise information and communication technology (ICT) infrastructures and enhancing digital forensics have become critical imperatives. Cloud environments, in particular, present substantial challenges due to the limited availability of effective forensic tools and the pressing demand for impartial and legally admissible digital evidence. To address these challenges, we propose a proactive digital forensics mechanism (P-DFM) designed for emergency incident management in enterprise settings. This mechanism integrates a range of forensic tools to identify and preserve critical digital evidence. It also incorporates the MITRE ATT&CK framework with Security Information and Event Management (SIEM) and Managed Detection and Response (MDR) systems to enable comprehensive and timely threat detection and analysis. The principal contribution of this study is the formulation of a novel Proactive Digital Evidence Forensics Standard Operating Procedure (P-DEFSOP), which enhances the accuracy and efficiency of security threat detection and forensic analysis while ensuring that digital evidence remains legally admissible. This advancement significantly reinforces the cybersecurity posture of enterprise networks. Our approach is systematically grounded in the Digital Evidence Forensics Standard Operating Procedure (DEFSOP) framework and complies with internationally recognized digital forensic standards, including ISO/IEC 27035 and ISO/IEC 27037, to ensure the integrity, reliability, validity, and legal admissibility of digital evidence throughout the forensic process. Given the complexity of cloud computing infrastructures—such as Chunghwa Telecom HiCloud, Amazon Web Services (AWS), Google Cloud, and Microsoft Azure—we underscore the critical importance of impartial and standardized digital forensic services in cloud-based environments.
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Research context

OpenAlex topics: Digital and Cyber Forensics · Advanced Malware Detection Techniques · Internet Traffic Analysis and Secure E-voting

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Science and Information Engineering, Tatung University, No 40, Sec. 3, Zhongshan N. Rd., Taipei City 104327, Taiwan

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