This year's IEEE VAST Challenge features two mini-challenges that particularly appeal to the SecViz community. These challenges are open to participation by individuals and teams in industry, government, and academia. Creative approaches to visual analytics are encouraged.
Mini-Challenge 2 tests your skills in visual design. The fictitious Big Enterprise is searching for a design for their future situation awareness display. The company's intrepid network operations team will use this display to understand the health, security, and performance of their entire computer network. This challenge is also very different from previous VAST Challenges, because there is no data to process and no questions to answer. Instead, the challenge is to show off your design talents by producing a creative new design for situation awareness. Please visit http://www.vacommunity.org/VASTchallenge2013MC2 for more information.
Mini-Challenge 3 focuses on unusual happenings on the computer network of a marketing company. Can you identify what looks amiss on the network using the network flow and network health data provided? And can you ask the right questions to help you piece together the timeline of events? Two weeks of data will be released for this challenge. Week 1 data is now available. Please visit http://www.vacommunity.org/VASTchallenge2013MC3 for more details.
For more information, please contact firstname.lastname@example.org
Big data and security intelligence are the two hot topics in security for 2013. We are collecting more and more information from both the infrastructure, but increasingly also directly from our applications. This vast amount of data gets increasingly hard to understand. Terms like map reduce, hadoop, mongodb, etc. are part of many discussions. But what are those technologies? And what do they have to do with security intelligence? We will see that none of these technologies are sufficient in our quest to defend our networks and information. Data visualization is the only approach that scales to the ever changing threat landscape and infrastructure configurations. Using big data data visualization techniques, you can gain a far deeper understanding of what's happening on your network right now. You can uncover hidden patterns of data, identify emerging vulnerabilities and attacks, and respond decisively with countermeasures that are far more likely to succeed than conventional methods. The attendees will learn about log analysis, big data, information visualization, data sources for IT security, and learn how to generate visual representations of IT data. The training is filled with hands-on exercises utilizing the DAVIX live CD.
Log Management and SIEM
Raffael Marty is one of the world's most recognized authorities on security data analytics. The author of Applied Security Visualization and creator of the open source DAVIX analytics platform, Raffy is the founder and ceo of PixlCloud, a next-generation data visualization application for big data. With a track record at companies including IBM Research and ArcSight, Raffy is thoroughly familiar with established practices and emerging trends in data analytics. He has served as Chief Security Strategist with Splunk and was a co-founder of Loggly, a cloud-based log management solution. For more than 12 years, Raffy has helped Fortune 500 companies defend themselves against sophisticated adversaries and has trained organizations around the world in the art of data visualization for security. Practicing zen has become an important part of Raffy's life.
This image shows network traffic to and from a single host in a smaller network. The visualization uses HTML (SVG) and D3 to render the SVG. It's fully interactive so that explorations become possible.
A single selection is visible here. The non selected links and nodes fade out and the selected connections are detailed out in the text box.
In conjunction with the 2013 IEEE International Conferences on Intelligence and Security Informatics (ISI), we present a special topics workshop on:
Evaluating Security Visualizations in Supporting Analytical Reasoning & Decision Making in Cybersecurity
As the potential for visualizations in cybersecurity analysis becomes exceedingly more apparent, efforts to evaluate these visualizations become more imperative than ever to supporting the cybersecurity mission. As technology and big data continue to grow rampantly so does the deployment of insufficiently evaluated cybersecurity visualizations that claim to be most aligned with how analysts think and perceive data. Before organizations may intelligently incorporate visualization into their cybersecurity analysis process they must be prepared to pose tailored sets of questions that directly relate to the particular objective of the cyber analyst. This workshop addresses these gaps with the intent of bringing together experts from a variety of disciplines relevant to the topic of evaluating cybersecurity visualizations in their ability to support analytic reasoning and decision making in cybersecurity.
We welcome paper submissions on the following or related topics:
Empowering the Human Analysts
Methods and techniques for evaluating the impact cybersecurity visualizations have on enabling the human perception and cognitive processes that are required for intelligent decision making.
Addressing current deficiencies in cybersecurity analysis
Methods and techniques for measuring the impact cybersecurity visualization tools have on addressing current deficiencies that still exist in cybersecurity analysis such as exploration and prediction.
The Unique nature of Cybersecurity Visualization
Identifying aspects that are specific to cybersecurity visualization, and identifying relevant contributions from current research in the broader fields of information visualization and scientific visualization, and from visualizations in other domains.
Workshop papers due: March 31, 2013
Notices of acceptance and comments provided to authors: April 12, 2013
Camera ready paper submitted: April 29, 2013
Submission file formats are PDF and Microsoft Word. Required Word/LaTex templates (IEEE two-column format) can be found on IEEE's Publications web pages. Submissions can be long (6,000 words, 6 pages max) or short (3000 words, 3 pages max). Papers in English must be submitted by email to Lisa Coote at Lisa.Coote@innovative-analytics.com. The accepted workshop papers from will be published by the IEEE Press in formal Proceedings. Authors who wish to present a poster and/or demo may submit a 1-page extended abstract, which, if selected, will appear in the conference proceedings.
Conference content will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. The selected IEEE ISI 2013 best papers will be invited for contribution to the Springer Security Informatics Journal.
Kevin O'Connell, Innovative Analytics & Training
Lisa Coote, Innovative Analytics & Training
Raffael Marty, PixlCloud
Tomas Budavari, John Hopkins University
Antonio Sanfilippo, Pacific Northwest National Laboratory
John T. Langton, VisiTrend LLC
Claudio Silva, NYU Polytechnic
Bernice Rogowitz, Visual Perspectives Consulting
Cullen Jackson, APTIMA
Enrico Bertini, NYU Polytechnic
John Goodall, Oak Ridge National Laboratory
The 10th International Symposium on Visualization for Cyber Security (VizSec) is a forum that brings together researchers and practitioners from academia, government, and industry to address the needs of the cyber security community through new and insightful visualization and analysis techniques. VizSec will provide an excellent venue for fostering greater exchange and new collaborations on a broad range of security- and privacy-related topics. Accepted papers will appear in the ACM Digital Library as part of the ACM International Conference Proceedings Series.
Important research problems often lie at the intersection of disparate domains. Our focus is to explore effective, scalable visual interfaces for security domains, where visualization may provide a distinct benefit, including computer forensics, reverse engineering, insider threat detection, cryptography, privacy, preventing 'user assisted' attacks, compliance management, wireless security, secure coding, and penetration testing in addition to traditional network security. Human time and attention are precious resources. We are particularly interested in visualization and interaction techniques that effectively capture human analyst insights so that further processing may be handled by machines, freeing the analyst for other tasks. For example, a malware analyst might use a visualization system to analyze a new piece of malicious software and then facilitate generating a signature for future machine processing. When appropriate, research that incorporates multiple data sources, such as network packet captures, firewall rule sets and logs, DNS logs, web server logs, and/or intrusion detection system logs, is particularly desirable.
See http://www.vizsec.org/ for additional information.
It might not be the pretties graph, but it tells a story. This graphs was generated with R and shows the number of HTTP connections per Host header field. I generated this graph with data from Bro's HTTP.log file.
A few other graphs and R scripts can be found on my blog, http://anthonykasza.webs.com/blog23.html
This graph shows a part of the global SSL trust relationships. It was generated with AfterGlow and Gephi (by using the -k parameter of AfterGlow to generate a GDF file). Node size is based on the number of children for each node. The big green node is the DFN CERT. And no, it doesn't mean that the DNF CERT is trusted more than any other certificate authority...
As I've been putting together an R package for mining open source IP "intelligence" data, I decided to play with visualizing malicious host categories in AlienValut's IP reputation database. This image is a network graph plot (using R & igraph) of AlienVault identified C&C nodes as they relate to host ASNs (with ASN peers included). Red nodes are the C&C hosts, gold nodes are the the ASNs.
I did the same with a subset of "Malicious Hosts" in AlienValut's db and am thinking that tracking these over a day (/week/month/year) would make for an interesting view of the ebb & flow of C&C hosts.