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Distributed Adaptive Push-Button Forensics

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Publié dans:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 24-25
Auteur principal: Kebande, Victor
Publié:
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Sujets:
Forensic sciences
Automation
Client server systems
Computer forensics
Forensic computing
Edge computing
Data collection
Mobile computing
Accès en ligne:Citation/Abstract
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Résumé:Conference Title: 2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)Conference Start Date: 2025 May 19Conference End Date: 2025 May 22Conference Location: Tampa, FL, USADigital Forensics (DF) in distributed environments faces significant challenges, ranging from scalability, complexity, and reliance on traditional DF processes. The problem being addressed in this paper, is the lack of effective automated DF analysis across distributed ecosystems. Inspired by the success of peer-to-peer ($\mathbf{P 2 P}$) architectures, and as a step toward overcoming the limitations of traditional client-server models, a Distributed Adaptive Push-button Forensic (DAPF) System that leverages a decentralized approach is suggested. The DAPF system automates attack data collection and analysis across multiple nodes in an adaptive approach to streamline DF investigations. Preliminary experiments have demonstrated a $\mathbf{3 0 \%}$ reduction in analysis time compared to traditional methods. This work highlights the potential of automation, adaptability, and decentralized architectures in modern DF a step towards distributed digital forensics.
DOI:10.1109/FMEC65595.2025.11119242
Source:Science Database