Billy Goat, an Accurate Worm-Detection System (Revised Version)

Billy Goat is a worm detection system. Its most important feature is its reliability in terms of accuracy, resilience and rapidity in detection and identification of worms without false positives. It is widely deployed throughout IBM and several other corporate networks. We discuss the features and requirements of worm detection systems in general, and how they are addressed by Billy Goat. We also describe the tools and constructions that we have used in the implementation and deployments of the system, and discuss contributions which could be useful in the implementation of other similar systems.

By: James Riordan; Diego Zamboni; Yann Duponchel

Published in: RZ3609 in 2005

LIMITED DISTRIBUTION NOTICE:

This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.

rz3609_revised.pdf

Questions about this service can be mailed to reports@us.ibm.com .