Content area

Abstract

Conference Title: 2025 10th International Conference on Fog and Mobile Edge Computing (FMEC)

Conference Start Date: 2025 May 19

Conference End Date: 2025 May 22

Conference Location: Tampa, FL, USA

Digital 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.

Details

Business indexing term
Title
Distributed Adaptive Push-Button Forensics
Author
Kebande, Victor 1 

 Blekinge Institute of Technology,Sweden 
Pages
24-25
Number of pages
2
Publication year
2025
Publication date
2025
Publisher
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Place of publication
Piscataway
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2025-08-19
Publication history
 
 
   First posting date
19 Aug 2025
ProQuest document ID
3247344074
Document URL
https://www.proquest.com/conference-papers-proceedings/distributed-adaptive-push-button-forensics/docview/3247344074/se-2?accountid=208611
Copyright
Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Last updated
2025-09-06
Database
ProQuest One Academic