In-progress

Files:

• resourceExtraction.ipynb: Tool for creating supervised learning labels based on resource captures
• entropyTest.py: Kernel density estimation tool
• gaussian.ipynb: Taking single resource values and finding variance as an approximation of fuzzer ability
• modelTraining.ipynb: Train a prediction model used for anomaly detection comparisons

Artifacts for the fuzzing metric paper

Network resource capturing assumes the ability to use tcpdump. Currently /etc/sudoers:

USER ALL=(ALL) NOPASSWD: /usr/sbin/tcpdump