Abstract

Digital forensic analysis techniques have been significantly improved and evolved in past decade but we still face a lack of effective forensic analysis tools to tackle diverse incidents caused by emerging technologies and the advances in cyber crime. In this paper, we propose a comprehensive framework to address the efficacious deficiencies of current practices in digital forensics. Our framework, called Collaborative Forensic Framework (CUFF), provides scalable forensic services for practitioners who are from different organizations and have diverse forensic skills. In other words, our framework helps forensic practitioners collaborate with each other, instead of learning and struggling with new forensic techniques. In addition, we describe fundamental building blocks for our framework and corresponding system requirements.

Original languageEnglish (US)
Title of host publicationInformation Reuse and Integration in Academia and Industry
PublisherSpringer-Verlag Wien
Pages237-260
Number of pages24
Volume9783709115381
ISBN (Print)9783709115381, 370911537X, 9783709115374
DOIs
StatePublished - Nov 1 2013

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Crime
Digital forensics

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Mabey, M., & Ahn, G-J. (2013). Towards collaborative forensics. In Information Reuse and Integration in Academia and Industry (Vol. 9783709115381, pp. 237-260). Springer-Verlag Wien. https://doi.org/10.1007/978-3-7091-1538-1_12

Towards collaborative forensics. / Mabey, Mike; Ahn, Gail-Joon.

Information Reuse and Integration in Academia and Industry. Vol. 9783709115381 Springer-Verlag Wien, 2013. p. 237-260.

Research output: Chapter in Book/Report/Conference proceedingChapter

Mabey, M & Ahn, G-J 2013, Towards collaborative forensics. in Information Reuse and Integration in Academia and Industry. vol. 9783709115381, Springer-Verlag Wien, pp. 237-260. https://doi.org/10.1007/978-3-7091-1538-1_12
Mabey M, Ahn G-J. Towards collaborative forensics. In Information Reuse and Integration in Academia and Industry. Vol. 9783709115381. Springer-Verlag Wien. 2013. p. 237-260 https://doi.org/10.1007/978-3-7091-1538-1_12
Mabey, Mike ; Ahn, Gail-Joon. / Towards collaborative forensics. Information Reuse and Integration in Academia and Industry. Vol. 9783709115381 Springer-Verlag Wien, 2013. pp. 237-260
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