Event Reconstruction: A state of the art

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Title: Event Reconstruction: A state of the art
Authors: Chabot, Yoan
Bertaux, Aurélie
Nicolle, Christophe
Kechadi, Tahar
Permanent link: http://hdl.handle.net/10197/8520
Date: Jul-2015
Abstract: Event reconstruction is one of the most important step in digital forensic investigations. It allows investigators to have a clear view of the events that have occurred over time. Event reconstruction is a complex task which 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. After defining the most important concepts of event reconstruction, a survey of the challenges of this field and solutions proposed so far is given in this chapter.
Funding Details: Irish Research Council
Science Foundation Ireland
Type of material: Book Chapter
Publisher: IGI Global
Keywords: Machine learning;Statistics;Terahertz imaging;Digital holography;Sparsity
DOI: 10.4018/978-1-4666-6324-4.ch015
Language: en
Status of Item: Peer reviewed
Is part of: Cruz-Cunha, M.M. and Portela, I.M. (eds.). Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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