Timeline2GUI: A Log2Timeline CSV parser and training scenarios

Details

Serval ID
serval:BIB_FB1028C40CCC
Type
Article: article from journal or magazin.
Collection
Publications
Title
Timeline2GUI: A Log2Timeline CSV parser and training scenarios
Journal
Digital Investigation
Author(s)
Debinski Mark, Breitinger Frank, Mohan Parvathy
ISSN
1742-2876
Publication state
Published
Issued date
03/2019
Volume
28
Pages
34-43
Language
english
Abstract
Crimes involving digital evidence are getting more complex due to the increasing storage capacities and utilization of devices. Event reconstruction (i.e., understanding the timeline) is an essential step for investigators to understand a case where a prominent tool is Log2Timeline (a tool that creates super timelines which is a combination of several log files and events throughout a system). While these timelines provide great evidence and help to understand a case, they are complex and require tools as well as training scenarios. In this paper we present Timeline2GUI an easy-to-use python implementation to analyze CSV log files create by Log2Timeline. Additionally, we present three training scenarios – beginner, intermediate and advanced – to practice timeline analysis skills as well as familiarity with visualization tools. Lastly, we provide a comprehensive overview of tools.
Keywords
Law, Medical Laboratory Technology, Computer Science Applications
Web of science
Create date
06/05/2021 11:01
Last modification date
06/05/2021 11:37
Usage data