FloCon 2013

Organization: Software Engineering Institute at Carnegie Mellon University

Venue: Hyatt Regency Albuquerque

Location: Albuquerque, New Mexico, United States

Event Date/Time: Jan 07, 2013 End Date/Time: Jan 10, 2013
Abstract Submission Date: Sep 21, 2012
Paper Submission Date: Nov 16, 2012
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FloCon 2013, a network security conference, takes place in Albuquerque, New Mexico, on January 7–10, 2013. This open conference provides a forum for operational network analysts, tool developers, researchers, and other parties interested in the analysis of large volumes of traffic to showcase the next generation of flow-based analysis techniques.

Flow is an abstraction of network traffic in which packets are aggregated by common attributes over time. This year's conference will focus on the challenges of "Analysis at Scale." In large network environments, flow data helps to provide a scalable way of seeing the big picture, as well as a streamlined platform for highlighting patterns of malicious behavior over time.

More and more commercial tools and platforms are available for collecting and storing not only flow data, but large volumes of other data such as DNS information, packet capture, security logs, and incident reports. How do we refine this "Big Data" into knowledge? How do we design methods for aggregated analyses at the network edge? How do we build systems for monitoring thousands or millions of assets at once?

The era of Big Data has brought with it the need to integrate cross-disciplinary expertise—in numerical methods, system design, software engineering, visualization, and analytical thinking—with the goal of gaining awareness and insight from raw records. Analysis of Big Data at the ISP and carrier-class network level adds challenges of data abstraction, context, and scope that must be addressed with the implementation of any system designed to help operational analysts use this data to learn about network threats.


330 Tijeras Ave NW
New Mexico
United States


Software Engineering Institute at Carnegie Mellon University