Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4955602 | Digital Investigation | 2017 | 16 Pages |
Abstract
This article explores a novel approach to file carving by viewing it as a decision problem. This allows us to design algorithms that produce best-effort results under given resource constraints. Resource-constrained carving is important for digital forensic triage, as well as for e-discovery, where a reduction in carving time may be preferred to completeness. In this work we give a formal definition of decision-theoretic file carving. As an illustration, we developed a JPEG file carving tool using the described decision-theoretic algorithm. We then examine the results of decision-theoretic file carving compared with linear carving methods to demonstrate when decision-theoretic carving is most useful.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Pavel Gladyshev, Joshua I. James,