1. Computation in the Wild Staphanie Forrest Justin Balthrop Matthew Glickman David Ackley Presented by Montana Low

2. Complexity, Modularity, Linearity ● Modularity makes complexity more manageable ● Linear systems are decomposable into independent modules with minimal interactions.

3. Autonomy, Lifespan and Reproduction ● Individual components must be self-reliant and autonomous, able to function without depending on a consistent global design to guarantee safe interactions. ● Survivability is more important than correctness ● Successful software is copied, unsuccessful software is not.

4. Disposability, Adaptation and Homeostasis ● Make components modular enough that the death of a single one is not fatal to the whole ● Adaptation is key for long term success ● Homeostasis should be used

5. ● Two strings match if they are identical in at least r contiguous locations ● Detectors are randomly generated ● LYSIS uses negative detection ● If a detector survives the tolerization period, it becomes mature ● Detectors use activation thresholds, with decay over time ● Detectors can become long lived through a costimulatory process ● Detectors within a set sensitize each other upon activiation within a time horizon

6. LISYS Architecture

7. Lifecycle of a detector in LISYS

9. TCP Port Scans Stealth and Noisy

10. Full nmap port scan