Workshop on Statistical and Machine
Learning Techniques in Computer
Intrusion Detection
Biological Programming Models for Intrusion-Tolerant
Systems
David Evans
Abstract:
Nature provides a strong existence proof that complex,
robust behavior can be produced from relatively simple programs using
mostly local communication. Our research explores programming models that
provide intrinsic robustness and adaptability by describing programs that
produce desired functionality through local interactions. Our simple programming
model abstracts biological cells as entities that can change state, diffuse
chemicals, sense properties of their surroundings, and divide. This talk
will describe our programming model and simulator, and report on preliminary
experimental results illustrating the robustness of programs constructed
using this approach.