مقالات ISI مدیریت

A complete formalized knowledge representation model for advanced digital forensics timeline analysis

A B S T R A C T

Having a clear view of events that occurred over time is a difficult objective to achieve in
digital investigations (DI). Event reconstruction, which allows investigators to understand
the timeline of a crime, is one of the most important step of a DI process. This complex task
requires exploration of a large amount of events due to the pervasiveness of new technologies
nowadays. Any evidence produced at the end of the investigative process must
also meet the requirements of the courts, such as reproducibility, verifiability, validation,
etc. For this purpose, we propose a new methodology, supported by theoretical concepts,
that can assist investigators through the whole process including the construction and the
interpretation of the events describing the case. The proposed approach is based on a
model which integrates knowledge of experts from the fields of digital forensics and
software development to allow a semantically rich representation of events related to the
incident. The main purpose of this model is to allow the analysis of these events in an
automatic and efficient way. This paper describes the approach and then focuses on the
main conceptual and formal aspects: a formal incident modelization and operators for
timeline reconstruction and analysis.
© 2014 Digital Forensics Research Workshop. Published by Elsevier Limited. All rights
reserved.

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