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 language | English (US) |
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Title of host publication | Information Reuse and Integration in Academia and Industry |
Publisher | Springer-Verlag Wien |
Pages | 237-260 |
Number of pages | 24 |
Volume | 9783709115381 |
ISBN (Electronic) | 9783709115381 |
ISBN (Print) | 370911537X, 9783709115374 |
DOIs | |
State | Published - Nov 1 2013 |
ASJC Scopus subject areas
- Computer Science(all)