Distributed Adaptive Push-Button Forensics
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| Publicado no: | The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 24-25 |
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| Autor principal: | |
| Publicado em: |
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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| Assuntos: | |
| Acesso em linha: | Citation/Abstract |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3247344074 | ||
| 003 | UK-CbPIL | ||
| 024 | 7 | |a 10.1109/FMEC65595.2025.11119242 |2 doi | |
| 035 | |a 3247344074 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 228229 |2 nlm | ||
| 100 | 1 | |a Kebande, Victor |u Blekinge Institute of Technology,Sweden | |
| 245 | 1 | |a Distributed Adaptive Push-Button Forensics | |
| 260 | |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |c 2025 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a 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. | |
| 653 | |a Forensic sciences | ||
| 653 | |a Automation | ||
| 653 | |a Client server systems | ||
| 653 | |a Computer forensics | ||
| 653 | |a Forensic computing | ||
| 653 | |a Edge computing | ||
| 653 | |a Data collection | ||
| 653 | |a Mobile computing | ||
| 773 | 0 | |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings |g (2025), p. 24-25 | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3247344074/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |