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Distributed Adaptive Push-Button Forensics

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Názov: Distributed Adaptive Push-Button Forensics
Autori: Kebande, Victor R.
Informácie o vydavateľovi: Blekinge Tekniska Högskola, Institutionen för datavetenskap
Rok vydania: 2025
Zbierka: BTH (Blekinge Institute of Technology): DIVA / Blekinge Tekniska Högskola
Predmety: Adaptive, Distributed, Forensics, Push-button, Client Server Computer Systems, Computer Architecture, Computer Crime, Computer Forensics, Ecosystems, Forensic Engineering, Client-server Models, Digital Forensic Analysis, Distributed Environments, Forensic, Forensic Process, P2p Architecture, Peer To Peer (p2p), Pushbuttons, Electronic Crime Countermeasures, Security, Privacy and Cryptography, Säkerhet, integritet och kryptologi
Popis: 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 (P2P) 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 30% 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. ; dAIEDGE: HORIZON-CL4-2022-HUMAN-02-02
Druh dokumentu: conference object
Popis súboru: application/pdf
Jazyk: English
ISBN: 979-83-315-4424-9
Relation: 2025 10th International Conference on Fog and Mobile Edge Computing, FMEC 2025, p. 24-25; urn:isbn:9798331544249; ISI:001582847200004
DOI: 10.1109/FMEC65595.2025.11119242
Dostupnosť: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-28663
https://doi.org/10.1109/FMEC65595.2025.11119242
Rights: info:eu-repo/semantics/openAccess
Prístupové číslo: edsbas.58AD8487
Databáza: BASE
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  Data: Distributed Adaptive Push-Button Forensics
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  Data: <searchLink fieldCode="AR" term="%22Kebande%2C+Victor+R%2E%22">Kebande, Victor R.</searchLink>
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  Data: Blekinge Tekniska Högskola, Institutionen för datavetenskap
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  Data: 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 (P2P) 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 30% 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. ; dAIEDGE: HORIZON-CL4-2022-HUMAN-02-02
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        Type: general
      – SubjectFull: Distributed
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      – SubjectFull: integritet och kryptologi
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      – TitleFull: Distributed Adaptive Push-Button Forensics
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