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wireshark afterglow node graph based on binding interfaces with IP address directions

wireshark afterglow node graph based on binding interfaces with IP address directions

Using wireshark eth.src and ip.src and binding to eth.dst and ip.dst you get an semi-self organized map of devices on the network.
Once you make all IPv4 into CIDR /24 and /16 you have a compressed routing view of the network allowing the trace from traffic generation to Internet in very complex networks.
The ideal view is the Hierarchical view showing interface <> IP Source <> interface <> IP Destination including external networks.
Color coding should demonstrate a row of interfaces, followed by a row of networks followed by yet another row of interfaces.

need help in 3d treemap

Hi all,

i'm a student and i'm doing project on visualization. can i know is it possible to do a 3d treemap using this DAVIX? hope to heard from you soon. thank you.

Regards,
Adeline

VizSec 2011 Call for Papers Released

This year's VizSec Symposium will be held at Carnegie Mellon University, Pittsburgh, PA, USA on 20 July 2011. VizSec brings researchers and practioners from academia, government, and industry to share insights and present solutions to modern cyber security challenges using visualization techniques. Technical papers, speakers, and presentations will be featured in this year's program. If you are conducting research into security visualization please consider submitting a research paper (due by 1 April 2011) or a panel proposal (due by 15 April 2011).

Security Visualization - State of 2010 and 2011 Predictions

At the recent SANS Incident response and log management summit, I was part of a panel on security visualization. As an introduction, I presented the attached slides on the security visualization trends and where we are today.
I looked at four areas for security visualization: Data, Cloud, Tools, and Security. I started with looking at the log maturity scale that I developed a while ago. Barely any of the present companies could place themselves to the right of correlation point. It's sad, but probably everyone expected it. We have a long way to go with log analysis!

Data

It's very simple. If you don't have the data, you cannot visualize it. A lot of companies are still struggling to collect the necessary data. In some cases, the data is not even available because applications do not generate it. This is where data analysis or security people have to start voicing their needs to the application owners and developers in order to generate the data that they need. In addition, developers and security people have to communicate more to learn from each other. Ideally, it is not even the security folks that visualize and analyze the application logs, but it is the application people. Just a thought!
What we will see next year is that the Big Data movement is going to enable us to crunch more and bigger data sets. Hopefully 2011 will also give us an interoperability standard that is going to ease log analysis.

Cloud

What does the cloud have to do with security visualization? Well, it has to do with processing power and with application development. Applications generate logs and logs are used for security visualization. Cloud services are new pieces of software that are being developed. We have a chance here to build visibility into those applications, meaning we have an opportunity to educate these developers to apply logging in the right way.
Next year we will see a lot of companies that are going to roll their own log analysis systems based on big data technology, such as Hadoop. We have seen a number of companies doing this already in 2010: Facebook, Linkedin, NetFlix, Zynga, etc. Traditional log management solutions just don't scale to these companies' needs. This will continue next year.

Tools

With tools I mean security visualization tools. We are absolutely nowhere with this. There are a couple of simple tools out there, but there is no tool that really does what we need: brushing, linked views, supports large data sets, easy to use, contextualized, etc.
Next year won't really change anything in this area. What we will see is that more and more tools are built on the Web. The cloud movement is kind of responsible for this push, but so is the broad utilization of HTML5 with all of it's goodness (e.g., Websockets, Canvas). We will see advances in the social space with regards to visualization tools. Security will continue utilizing those tools to analyze security data. It's not ideal because these tools are not meant for this, but hey, better than nothing! Maybe this will help creating awareness and will surface some interesting use-cases for security visualization.

Security

What will we see in security visualization? Well, as we saw earlier, we don't have the data. What that means is that we haven't really had a chance to learn how to visualize that data. And because we didn't have that chance, we don't really understand our data. Read that again. I think this is an important point!
Next year will give us more bad security visualization examples. And I am lumping product displays into this. Have you looked at your tool lately? During the SANS summit, I had a chance to look at some of the vendor's dashboards. They are horrible. 3D charts, no legends, bad choice of colors, non actionable dashboards, etc. Note to log management vendors: I offer a security visualization class. You might want to consider taking it! But back on topic. Visualization, just like security, will stay an afterthought. It's being added when everything else is in place already. We know how that generally turns out.

I know, I am painting a gloomy picture. Hopefully 2011 will have some surprises for us!

3D Vulnerability, Connection and Asset Visualization

3D Vulnerability, Connection and Asset Visualization

This is a screen shot of the Tenable 3D Tool which works with SecurityCenter. It can visualize a topology based on Nessus vulnerability scans, change features of each node (color, shape, icon, size, elevation, animation) based on any type of value such as an asset class, political group, technology, .etc. Each node also can have 8 vertical bars (4 up and 4 down) which can be colored based on vulnerability, open port, missing patches, configuration issues, .etc. Each node can also have connection information displayed from IDS, netflow, firewall, login failures, .etc that have been collected by the Passive Vulnerability Scanner or from logs gathered by the Log Correlation Engine. The tool is currently in beta testing and will be available to Tenable customers in early 2011. http://www.tenable.com

Equilibrium Networks free/open-source software release

Equilibrium Networks' free/open-source visual network traffic monitoring software is now available for download at http://www.eqnets.com. A video of our enterprise system in action and technical documents detailing our approaches to traffic analysis, real-time interactive visualization and alerting are also available at our website.

Besides a zero-cost download option, we are also offering Linux-oriented installation media and an enterprise version of our system with premium features such as configurable automatic alerting, nonlinear replay, and a 3D traffic display.

Discounts—including installation media for a nominal shipping and handling fee—are available to institutional researchers or in exchange for extensions to our platform.

The software can run in its entirely on a dedicated x86 workstation with four or more cores and a network tap, though our system supports distributed hardware configurations. An average graphics card is sufficient to operate the visualization engine.

Log Visualization in the Cloud - Webinar

On August 19th, at 10am PST I will be giving a Webinar on the topic of visualization. You can register and watch the Webinar right here:

A BrightTALK Channel

Cloud-based Log Analysis and Visualization

I was giving a talk at RMLL 2010, a french free software conference. The title, Cloud-based Log Analysis and Visualization, already gives the content away. But in case, here is the abstract for the talk:




Cloud computing has changed the way businesses operate, the way businesses make money, and the way business have to protect their assets and information. More and more software applications are moving into the cloud. People are running their proxies in the cloud and soon you will be collecting your logs in the cloud. You shouldn't have to deal with log collection and log management. You should be able to focus your time on getting value out of the logs; to do log analysis and visualization.

In this presentation we will explore how we can leverage the cloud to build security visualization tools. We will discuss some common visualization libraries and have a look at how they can be deployed to solve security problems. We will see how easy it is to quickly stand up such an application. To close the presentation, we will look at a number of security visualization examples that show how security data benefits from visual representations. For example, how can network traffic, firewall data, or IDS data be visualized effectively?

"Trojan Pong" and other malware data visualization ideas

"Trojan Pong" and other malware data visualization ideas

This small experimental project was done for the Shadowserver Foundation. They are a volunteer, Not for Profit organization who deal in the capture, analysis and dissemination of data and intelligence relating to nefarious activity on the internet. Shadowserver provided us with one day worth of data (which was several gigabytes) for us to apply some known techniques, and experiment with some new ones.

The idea of this project was simply to provide some ideas as to ways to represent their massive datasets visually. There's lot of work to go, however here are few early ideas. My favourite is a light-hearted time series visualization in the theme of an old favourite arcade game originally released in 1972 "Pong".

See all of the samples at http://dataviz.com.au/shadowserver/ideas.html

SSHD brute force attempts - userids and IPs

SSHD brute force attempts - userids and IPs

One of many tests with Afterglow, visualizing SSHD brute force logins (yellow) vs source IP addresses (green).

This one shows quickly the IPs that have the most activity (one IP has the most: the yellow explosion in the middle), along with popularly attempted userids, and the IPs which have been attempting the same userids.