Recent efforts to create "common" datasets for testing and evaluation of host and network intrusion detection system development projects have led to the advancement of technology in this area. However, these datasets are still limited in scale, usability, and availability. Technologies to detect and respond to distributed denial of service attacks have begun to move from research into the commercial space without testing against any large-scale datasets.
In order to advance the state of the research and commercial development, we believe there is a need to create large-scale datasets for information security testing and evaluation of these maturing networking technologies. These datasets will allow all technology players to evaluate their technologies against a known source and will allow decision-makers, both commercial and government, to understand the security and performance aspects of future products. These datasets will require constant update and will require a process for doing so. A one-time collection of data will help the researchers of today, but with the rapid advances of the cyber adversary these datasets will have to be constantly refreshed to include the most recent attack signatures and patterns. Additionally, "national-level" testbeds are needed in order to evaluate research and commercial prototypes in a near-real environment. This is not the focus of this workshop, but will be considered during the discussions.
|Dates:||February 11-12, 2004 (immediately following NANOG 30)|
|Times:||See Agenda for details.|
|How to register:||registration is closed|
|Travel:||If you require travel assistance in order to attend this workshop, please include this request with your RSVP and we will provide the necessary information to assist with your travel arrangements|
|Connectivity:||There will also be wireless internet access in the room (thanks to Merit Networks).|
This meeting is sponsored by the Homeland Security Advanced Research Projects Agency (HSARPA) of the Science and Technology (S&T) Directorate of the Department of Homeland Security (DHS), and by CAIDA.