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  5. Automatic Timeline Construction For Computer Forensics Purposes
 
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Automatic Timeline Construction For Computer Forensics Purposes

Author(s)
Chabot, Yoan  
Bertaux, AurĂ©lie  
Nicolle, Christophe  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/6394
Date Issued
2014-09
Date Available
2015-02-23T11:02:12Z
Abstract
To determine the circumstances of an incident, investigators need to reconstruct events that occurred in the past. The large amount of data spread across the crime scene makes this task very tedious and complex. In particular, the analysis of the reconstructed timeline, due to the huge quantity of events that occurred on a digital system, is almost impossible and leads to cognitive overload. Therefore, it becomes more and more necessary to develop automatic tools to help or even replace investigators in some parts of the investigation. This paper introduces a multi-layered architecture designed to assist the investigative team in the extraction of information left in the crime scene, the construction of the timeline representing the incident and the interpretation of this latter.
Sponsorship
University College Dublin
Other Sponsorship
Burgundy region
Type of Material
Conference Publication
Publisher
Institute of Electrical and Electronics Engineers
Copyright (Published Version)
2014 IEEE
Subjects

Machine learning

Statistics

DOI
10.1109/JISIC.2014.54
Language
English
Status of Item
Peer reviewed
Conference Details
IEEE Joint Intelligence and Security Informatics Conference (ISI-EISIC 2014), 24-26 September, the Hague, Netherlands
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

170.59 KB

Format

Adobe PDF

Checksum (MD5)

b34625711402233098ba90d2253fad17

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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