The Kerf toolkit for intrusion analysis

Javed Aslam, Dartmouth College
Sergey Bratus, Dartmouth College
David Kotz, Dartmouth College
Ron Peterson, Dartmouth College
Daniela Rus, Dartmouth College
Brett Tofel, Dartmouth College

Dartmouth College Computer Science Technical Report TR2004-493


We consider the problem of intrusion analysis and present the Kerf Toolkit, whose purpose is to provide an efficient and flexible infrastructure for the analysis of attacks. The Kerf Toolkit includes a mechanism for securely recording host and network logging information for a network of workstations, a domain-specific language for querying this stored data, and an interface for viewing the results of such a query, providing feedback on these results, and generating new queries in an iterative fashion. We describe the architecture of Kerf, present examples to demonstrate the power of our query language, and discuss the performance of our implementation of this system.