Abstract
Modern computing systems act as black boxes in that they accept inputs and generate outputs but provide little to no visibility of their internal workings. This greatly limits the potential to understand cyber behaviors at the level of detail necessary to detect and counter some of the most important types of cyber threats. The motivation of this project is to design a visualization solution for a real-world problem domain in field of computer security where the various system level process and thread level activities involves.
The main goal is to process the large set of data and to make it able to visualize it in most convenient way, so that the user/audience can take decision in the event of suspicious behaviors. In terms of technologies, D3 library was used in JavaScript in html template to launch the visualization models as a webpage. The data files were uploaded in GitHub to avoid the CORES header issue while loading datafile from local machine. So, the script will load the data directly from GitHub via internet.
Project Information
- Category: Data Visualization
- Project date: Fall, 2019
- Project URL: Data Visualization Dashboard
Project Description
To provide a data visualization solution to monitor computing system process behaviour to understand any suspicious threat activities. The solution was developed in javascript using D3.js package.
| Datavisualization | Visualization idioms | JavaScript | | D3 | Data processing |