Data specific widgets

Internet and Mobile

For the longest time I have tried to stay away from the idea of data source specific widgets. The idea I was that we should build raw capabilities like the timeline widget or the map widget and then arrange them based on the needs of the data being reviewed. Conceptually the idea made lots of sense to me. After all investigation don’t revolve around data sources, they revolve around the content of the data. The problem with my thought process was that certain data sources namely internet and mobile have so many unique attributes that it is very hard to arrange generic widgets in a manner that accommodates them sufficiently. So instead of turning Quin-C into a demonic game of twister we have decided to embrace data source specific widgets.

As I am sure you have guessed our first two such widgets are the mobile widget and the internet widget. Each widget is designed to help expose key information in order to allow the investigator to more quickly locate any and all critical data. Since these are our first two data source specific widgets I thought it would be worthwhile to investigate the capabilities of both.

The mobile widget as its name suggests is focused on presenting mobile data. As you can see from the figure below all mobile data is categorized into tabs that represent the logical groups we think are generally most relevant.

The data in each tab is then grouped and presented in a way to make it quickly and easily consumable. Generally there are three basic forms of presentation. With many of the tabs the data is basically just a list of some attribute. For example the apps tab is really just a list of the apps that are on the phone. When the data is of this type we present it with a pie chart graphic that shows the 15 most common attributes and then a sortable and filterable grid. The combination of this graphic and grid both gives a powerful visual and functional resource with which to locate information. When the data is geo-location data we provide a map that shows the data plotted based on its coordinates. When the data is communication based we show the social analyzer which provides a graphical view of the data, a way to navigate the communication sources, and a viewer to see the nature of the communications. Along with all three of these techniques we provide a timeline and a grid. While we are ready to admit this is a first pass at mobile data we do believe that these presentation techniques provide a very comprehensive look into most of, if not all of the important phone based data.

Our approach to the internet widget was similar to that of the mobile widget. As the figure shows the layout of the widget is the same as the mobile widget and the presentation techniques for the data are similar. There are two notable difference though with the internet widget. The first is the domain name categorization. As the figure shows we have provided a number of pre-defined domain categories to help sort internet activity. However, the widget also allow the user to create their own groupings or to alter ours. The other exception is the internet time chart. This chart offers similar functionality to the timeline but instead of presenting the data based on the date it was created, it presents the data based on the time of day it was created. The goal is to show the browsing habits based on time of data of a given user.

Both widgets are fairly young in their life cycle and there is lots more we intend to do with them over the coming months but key point I am trying to make here is that the power of data source specific widgets has been made extremely clear to us. It is my expectation that more data source specific widgets or viewers will likely show up in Quin-C over the coming quarters.

tleehealey Tuesday 28 May 2019 - 6:29 pm | | Default

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