Boundary Detection and Containment of Local Worm Infections

We propose a system for detecting scanning-worm infected machines in a local network. Infected machines are detected after a few unsuccesful connection attempts, and in cooperation with the border router, their traffic is redirected to a honeypot for worm identification and capture. We discuss the architecture of the system and present a sample implementation based on a Linux router. We discuss future improvements for increasing the detection abilities and coverage of the sensor. While the system was developed based on the Billy Goat worm-detection system, it can easily be used with other honeypot systems.