— We present and evaluate the design of a new and comprehensive solution for automated worm detection and immunization. The system engages a peer-to-peer network of untrusted machines on the Internet to detect new worms and facilitate rapid preventative response. We evaluate the efficacy and scalability of the proposed system through large-scale simulations and assessments of a functional real-world prototype. We find that the system enjoys scalability in terms of network coverage, faulttolerance, security, and maintainability. It proves effective against new worms, and supports collaboration among among mutually mistrusting parties.
Joel O. Sandin, Bilal Khan