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Graphical representation of the logical OR

Graphical representation of the logical OR

Graphical representation of the logical AND

Graphical representation of the logical AND

3D Mesh Grid on Worldmap with Heat Map Tiles

3D Mesh Grid on Worldmap with Heat Map Tiles

Web based 3D malware visualization

I had created two visualization under the scope of GSoC 2011 Honeynet Project. The main aim was to create a 3D mesh with heat map tiles on a world map. The first visualization is a quick proof of concept though the second one is created by using Processing visualization framework.

Please check the documentation site to get detail information and leave me your feedback. The site includes links to demo sites also.

3D Mesh Grid on Worldmap with Heat Map Tiles

Quickparser v0.5 released

After re-implementing some parser code in difftree with bug fixes and improved bounds checking, I have ported those changes back to quickparser. So, I now present the new and improved quickparser v0.5 with less bugs and more bounds checking. Re-energized after touching the code, I am working on the template based version, which will not be limited to syslog style, key=value formatted logs.

Top SSH Brute Force Attackers v3

Top SSH Brute Force Attackers v3

This is my third try at graphing SSHd logs from honeynet.org's Challenge 5. I'm in the process of switching from Perl to Python, so I used Python this time along with Chart Director. However, this is a blatant knock off of Nathan Yau's much better chart: http://flowingdata.com/2011/06/13/largest-data-breaches-of-all-time/. I was just curious to see if I could recreate it with Python and Chart Director using different data.

If you're not familiar with SSHd logs:

"F" stands for "Failed" meaning the wrong password was tried.
"I" for "Invalid" meaning the wrong username was tried.
"A" for "Accepted" meaning the login attempt succeeded.

The numbers show how many "F", "I" or "A" were caused by the IP.

Top SSH Brute Force Attackers v2

Top SSH Brute Force Attackers v2

This is my second try at graphing SSHd logs from honeynet.org's Challenge 5. Perl and Chart Director were used to make this chart. The chart has a lot less "chart junk," and is much easier to understand the percentages than my first attempt. Red means there was at least one successful login, while blue means all login attempts failed.

The Visualization Lifecycle

This weekend I spend my time at Data Insight SF. It was a competition where teams were given a data set to visualize. The outcomes were pretty impressive (I might post pictures of the results later). While the teams were working on their projects, various people taught workshops. I was one of them and I talked about the Visualization Lifecycle.


View more presentations from Raffael Marty

A Hands-On Data Visualization Competition - June 24-26 in San Francisco!

Join us for data in sight: making the transparent visual, a hands-on data visualization competition held June 24-26 at Adobe Systems, Inc.’s office in San Francisco. Coders, programmers, developers, designers, scientists – anyone who believes that data is divine and has ideas for bringing it to life – are invited to join in the fun.

The program begins Friday evening with a session introducing the data sets and tools and a chance to form teams. Saturday kicks off with inspirational talks by data visualization experts from the Netherlands and Switzerland — Dutch graphic designers from Catalogtree and LUST and Switzerland-based interaction designers from Interactive Things. Then it’s down to business, as you roll up your sleeves and get hacking on a data visualization of your own.

Awards will be presented at the end of the weekend for winning projects in the following categories: best dynamic presentation, best fusion of multiple data sets, most actionable, most aesthetically pleasing, most creative, and the ever popular People's Choice award! (Bonus points for the best use of Swiss or Dutch data.)


REGISTER NOW

More details online at www.datainsightsf.com

Tor Exit Nodes by City

Tor Exit Nodes by City

Plotted exit nodes on maps. Full details on page of Tor Exit Nodes Visualized. Links to images on page are dynamic and updated daily. Uses Google Dynamic Map chart visualization tool.