|--alpaca_config/ # Contains alpaca configurations, priors, distributions, plots & experimental results
|--arachni/ # Web crawler & datasets per exact/binary classification problem
|--self-defense-onions/ # Static .onion sites
|--wf-classifier/ # ML classifiers
|--alpaca-conf-eval.py # ALPaCA settings evaluation program
|--nginx_template.conf # Template nginx configuration file
|--README.md # Readme file
|--requirements.txt # Virtual environment requirements
|--run-experiments.sh # Bash script to run experiments for 100 priors (do not forget to use sudo & modify filepaths at p-alpaca configurations)
General program usage: alpaca-conf-eval.py [-h] -ac AC -cl {binary,exact} -r R
-h, --help show this help message and exit
-ac AC this is the alpaca configuration file, which settings we want to evaluate.
-cl {binary,exact} type of classifier, binary or exact.
-r R input onion CSV file containing the onion URLs & browsing percentage per onion site i.e. the number of times that
arachni will crawl & generate the selected features per onion site. Sample file: onion_exact_example.csv
Example of a run for the exact classifier, generation of a dataset with the selected features, based upon exact_priors_sample.csv priors
`sudo wf/bin/python alpaca-conf-eval.py -ac <alpaca.conf> -cl exact -r arachni/exact_priors_sample.csv`