NDLI: Towards event ordering in digital forensics

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Towards event ordering in digital forensics

Content Provider	ACM Digital Library
Author	Levett, Chris P. Jhumka, Arshad Anand, Sarabjot Singh
Abstract	In criminal investigation and criminal justice, investigators are usually faced with several reports, which contain a set of events of interest. Often, it is important to be able to order these events so that relevant queries can be posed on this ordering, such as "was X at location Y when the murder took place?". However, ordering of these events is very difficult, especially if very few events are anchored in time, i.e., few events are associated with an explicit time. Manual extraction of all the events of interest from these reports is tedious. On the other hand, automated extraction is inaccurate at best, in the sense that either several events that may not be important could be included. This ultimately gives a large set of events to consider, and imposing an ordering on this set can yield a large tree structure, where nodes represent an event of interest, and an edge (i, j) indicates that event i occurred before or at the same time as event j, and the root node represents a special "start" event. In this paper, we investigate two techniques for automating extraction of events, and then ordering these. We compare the efficiency of the techniques through the size of the tree structure obtained.
Starting Page	35
Ending Page	42
Page Count	8
File Format	PDF
ISBN	9781450302869
DOI	10.1145/1854229.1854238
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-09-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Timestamps Forensics Machine learning Ordering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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