Title :
Parallel Coordinates Visualization of Large Data Investigation on HDDs
Author :
Wenbo Wang ; Mao Lin Huang
Author_Institution :
Fac. of Eng. & Inf. Technol., Univ. of Technol. Sydney, Sydney, NSW, Australia
Abstract :
Data Visualization and Visual Analytics (DVVA) techniques help human to extract essential information and knowledge from large and complex data sets, and then represent them clearly and comprehensively in the graphic format for better understanding. These techniques have been successfully applied in many areas, including the application in computer forensic science. This paper discusses the background, approaches to the visual analysis of typical computer forensic data. Primarily we will look at how visualization techniques can enhance the computer forensics task, and proposes a new model with a set of data attributes for visual analytics of computer forensics.
Keywords :
data analysis; data visualisation; digital forensics; knowledge acquisition; DVVA techniques; HDD; complex data sets; computer forensic data; computer forensic science; data representation; data visualization; graphic format; information extraction; knowledge extraction; large data investigation; large data sets; parallel coordinates visualization; visual analytics; Computational modeling; Computers; Data mining; Data visualization; Forensics; Geometry; Visual analytics; Computer Forensic Science; Data Visualization; Visual Analytics;
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
Conference_Location :
Macau
DOI :
10.1109/CGIV.2013.24