Name
Title | ||
|---|---|---|
Improving Performance of Forensics Investigation with Parallel Coordinates Visual Analytics |
Abstract | ||
|---|---|---|
Computer forensics investigators aim to analyse and present facts through the examination of digital evidences in short times. As the volume of suspicious data is becoming large, the difficulties of catching the digital evidence in a legally acceptable time are high. This paper proposes an effective method for reducing investigation time redundancy to achieve the normalization of data on hard disk drives (HDD) for computer forensics. We use visualization techniques, parallel coordinates, to analyse data instead of using data analysis algorithms only, and also choose a Red-Black tree structure to de-duplicate data. It reduces the time complexity, including the time spent of searching data, adding data as well as deleting data. We show the advantages of our approach, moreover, we demonstrate how this method can enhance the efficiency and quality of computer forensics task. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CSE.2014.337 | C3S2E |
Keywords | Field | DocType |
data models,data visualization,forensics | Data modeling,Data mining,Data visualization,Computer forensics,Computer science,Visual analytics,Digital evidence,Redundancy (engineering),Parallel coordinates,Time complexity | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenbo Wang | 1 | 3 | 5.48 |
| Mao Lin Huang | 2 | 736 | 80.10 |
| Liang Fu Lu | 3 | 25 | 3.10 |
| Jinson Zhang | 4 | 17 | 2.93 |