DocumentCode :
119644
Title :
A collaborative visual analytics of trajectory and transaction data for digital forensics: VAST 2014 Mini-Challenge 2: Award for outstanding visualization and analysis
Author :
Zhao, Ying ; Peng, Yanni ; Huang, Wei ; Li, Yong ; Zhou, Fangfang ; Liao, Zhifang ; Zhang, Kang
Author_Institution :
Central South University
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
371
Lastpage :
372
Abstract :
Advanced digital forensics technologies provide powerful basis in criminal investigation. Due to the complexity and diversity of data as well as the increasing quantity of the data, traditional digital forensics technologies have already can not adapt to the analysis requirements. This paper provides a visualization approach to analyze multiple types of data for digital forensics which provide users three interrelated tools: the RadViz tool, the PMViz tool and the SGGViz tool. Our solution focuses on the correlation analysis of trajectories and transactions, and it plays an important role in the process of analyzing the case in VAST 2014 Mini-challenge 2.
Keywords :
Digital forensics; RadViz; matrix; parallel coordinates; spatial and temporal analysis; trajectory data; transaction data; visual analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
Type :
conf
DOI :
10.1109/VAST.2014.7042571
Filename :
7042571
Link To Document :
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