Application of Digital Forensics in Cybercrime Investigations

As cybercrime continues to pose significant threats to individuals, businesses, and national security, digital forensics has become an important tool for investigating cybercrime. This article explores the application of digital forensics technology, with a focus on disk forensics, memory forensics, and network forensics. It provides an overview of common forensic techniques, including key forensic methods, their advantages, limitations, and real-world applications. This study emphasizes the latest advancements in forensic tools and technologies, including AI-driven automation and machine learning-based anomaly detection, highlighting their role in recovering digital evidence, identifying cybercrime activities, and supporting legal proceedings. However, despite these advancements, challenges such as encrypted data, anti-forensic techniques, and increasingly complex network threats were also discussed. These findings emphasize the necessity of standardized forensic protocols, the integration of AI-driven automation, and improved forensic methods to enhance investigation efficiency and ensure the integrity and reliability of digital evidence in the legal environment.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-05-15
DOI
https://doi.org/10.54254/2755-2721/2025.22847
Citations
1
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
3.25
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article

Application of Digital Forensics in Cybercrime Investigations

Yangkun Huang
1 citations
Applied and Computational Engineering
Digital and Cyber Forensics
3.25
article

Application of Digital Forensics in Cybercrime Investigations

Yangkun Huang
article en
1 citations

Abstract

As cybercrime continues to pose significant threats to individuals, businesses, and national security, digital forensics has become an important tool for investigating cybercrime. This article explores the application of digital forensics technology, with a focus on disk forensics, memory forensics, and network forensics. It provides an overview of common forensic techniques, including key forensic methods, their advantages, limitations, and real-world applications. This study emphasizes the latest advancements in forensic tools and technologies, including AI-driven automation and machine learning-based anomaly detection, highlighting their role in recovering digital evidence, identifying cybercrime activities, and supporting legal proceedings. However, despite these advancements, challenges such as encrypted data, anti-forensic techniques, and increasingly complex network threats were also discussed. These findings emphasize the necessity of standardized forensic protocols, the integration of AI-driven automation, and improved forensic methods to enhance investigation efficiency and ensure the integrity and reliability of digital evidence in the legal environment.

Applied and Computational EngineeringVol. 151(1)
Changchun University of Technology (CN)
Openalex Percentile: Top 9%
Digital and Cyber Forensics
3.25
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