KDnuggets : News : 2007 : n23 : item8 < PREVIOUS | NEXT >


From: Shirley
Date: Tue, 20 Nov 2007
Subject: SC07 Analytics Challenge winner

First Place at the SC 07 Analytics Challenge Awarded to ANGLE, the New Approach for Protecting Cyber-infrastructure

*Reno, NV, November 15, 2007* A new approach for protecting cyber-infrastructure won first place at the Third Annual Analytics Challenge at the SC 2007 conference in Reno, NV.

Cyber-infrastructure refers to the Internet-based infrastructure that allows businesses, consumers and the government to use the Internet and Internet-based applications. There is a growing awareness that protecting cyber-infrastructure from interference by criminals and other threats is becoming a national priority.

A team led by the National Center for Data Mining (NCDM) at the University of Illinois at Chicago and including participants from Northwestern University, the University of Chicago, Argonne National Laboratory, and the University of Southern California developed an application to protect cyber-infrastructur, called Angle.

Given the high volume of the data that is transported over the Internet, methods for identifying attacks on cyber-infrastructure can produce so many alerts that analysts monitoring the infrastructure are often overwhelmed. In these circumstances, it is common for analysts to miss new behavior that might be the beginning of new types of attacks. The Angle application developed by the team introduced a new algorithm for identifying possibly malicious activity for further study.

One of the innovations of the Angle project was the use of a data and compute cloud so that the data could be left in place and computation performed over the data. Although cloud computing has been used in the past several years by companies such as Google, Yahoo, Amazon and Microsoft to provide their services, these cloud infrastructures, by and large, are based on the standard Internet. In contrast, the Sector data cloud used by the Angle Project was a second-generation data cloud that is based on wide area high performance networks. These high performance networks enabled the large data sets produced by the project to be handled easily.

The National Center for Data Mining has led teams that have won two of the first three Analytic Challenges (at SC 05 and SC 07).

For more information about The National Center for Data Mining (NCDM), see www.ncdm.uic.edu.

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