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Add scalable AIP arguments #74

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Nov 8, 2024
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17 changes: 11 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -53,12 +53,6 @@ AIP will automatically attempt to run all the models using the available data. A
:~$ docker run --rm -v /opt/zeek/logs/:/home/aip/AIP/data/raw:ro -v ${PWD}/data/:/home/aip/AIP/data/:rw --name aip stratosphereips/aip:latest bin/aip
```

To run AIP for a specific day:
```bash
:~$ cd AIP
:~$ docker run --rm -v /opt/zeek/logs/:/home/aip/AIP/data/raw:ro -v ${PWD}/data/:/home/aip/AIP/data/:rw --name aip stratosphereips/aip:latest bin/aip YYYY-MM-DD
```

### Local Installation

To run AIP locally, follow the next steps:
Expand All @@ -78,6 +72,17 @@ To run AIP locally, follow the next steps:
* Let's test that AIP works with a simple test:
* `python3 bin/aip --help`

### AIP Commands

Get all the full list of options with `bin/aip --help`:

- Run AIP for a specific day:
- `bin/aip -v run-models --start-date YYYY-MM-DD`
- Run AIP for a specific day and model:
- `bin/aip -v run-models --start-date YYYY-MM-DD --model Alpha`
- Rebuild AIP knowledge base from a specific date:
- `bin/aip -d rebuild-kb --start-date YYYY-MM-DD`

## License

The Stratosphere AIP tool is licensed under [GNU General Public License v3.0](https://github.com/stratosphereips/AIP/blob/main/LICENSE).
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51 changes: 33 additions & 18 deletions bin/aip
Original file line number Diff line number Diff line change
Expand Up @@ -67,49 +67,64 @@ def main():
parser = argparse.ArgumentParser(description='Attacker IP Prioritization (AIP) Tool')
parser.add_argument('-d', '--debug', required=False, help="Debugging mode.", action="store_const", dest="log_level", const=logging.DEBUG, default=logging.ERROR,)
parser.add_argument('-v', '--verbose', required=False, help="Verbose mode", action="store_const", dest="log_level", const=logging.INFO,)
parser.add_argument('--date', type=str, help='The date for running the models in YYYY-MM-DD format. Defaults to today.', default=str(date.today()))
parser.add_argument('--model', type=str, choices=['Alpha', 'Alpha7', 'Prioritize_New', 'Prioritize_Consistent', 'Random_Forest', 'all'], default='all', help='Select AIP model to run. Defaults to all.')
parser.add_argument('--rebuild-kb', type=str, help='Rebuild knowledge base from a specific date (YYYY-MM-DD).')

subparsers = parser.add_subparsers(dest="command", help="commands")

# Run Models command
run_models_parser = subparsers.add_parser("run-models", help="Run models with optional date range.")
run_models_parser.add_argument('--start-date', type=str, help='The start date for running the models (YYYY-MM-DD). Default is today.', default=str(date.today()))
run_models_parser.add_argument('--model', type=str, choices=['Alpha', 'Alpha7', 'Prioritize_New', 'Prioritize_Consistent', 'Random_Forest', 'all'], default='all', help='Select AIP model to run. Default is all models.')

# Rebuild KB command
rebuild_kb_parser = subparsers.add_parser("rebuild-kb", help="Rebuild the knowledge base from a specific date.")
rebuild_kb_parser.add_argument("--start-date", required=True, type=str, help="The date from which to rebuild the knowledge base in YYYY-MM-DD format.")

args = parser.parse_args()

# Set up logging
logger = logging.getLogger(__name__)
logger = logging.getLogger('aip')
log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logging.basicConfig(level=args.log_level, format=log_fmt)

try:
# Validate start_date once not on every command
if hasattr(args,'start_date'):
aip_start_date = validate_and_convert_date(args.start_date)
else:
# If not set, default to today()
aip_start_date = date.today()

# If model is not set, default to today
if not hasattr(args,'model'):
args.model = 'all'

# Rebuild knowledge base
if args.rebuild_kb:
rebuild_date = validate_and_convert_date(args.rebuild_kb)
logger.info(f"Rebuilding knowledge base from {rebuild_date} onwards")
_rebuild(start_date=rebuild_date, log_level=args.log_level)
if args.command == "rebuild-kb":
logger.info(f"Rebuilding knowledge base from {aip_start_date} onwards")
_rebuild(start_date=aip_start_date, log_level=args.log_level)
sys.exit()

# Validate input date
if args.date:
run_date_day = validate_and_convert_date(args.date)

logging.info(f"Running {args.model} model(s) for date {run_date_day}.")
logging.info(f"Running {args.model} model(s) for date {aip_start_date}.")
# Run Alpha Model
if args.model in ['Alpha', 'all']:
run_model('Alpha', Alpha(), run_date_day, args.log_level)
run_model('Alpha', Alpha(), aip_start_date, args.log_level)

# Alpha 7 Model
if args.model in ['Alpha7', 'all']:
run_model('Alpha7', Alpha7(), run_date_day, args.log_level)
run_model('Alpha7', Alpha7(), aip_start_date, args.log_level)

# Prioritize New Model
if args.model in ['Prioritize_New', 'all']:
run_model('Prioritize_New', New(), run_date_day, args.log_level)
run_model('Prioritize_New', New(), aip_start_date, args.log_level)

# Prioritize Consistent Model
if args.model in ['Prioritize_Consistent', 'all']:
run_model('Prioritize_Consistent', Consistent(), run_date_day, args.log_level)
run_model('Prioritize_Consistent', Consistent(), aip_start_date, args.log_level)

# Prioritize Random Forest Model
if args.model in ['Random_Forest', 'all']:
run_model('Random_Forest', RandomForest(), run_date_day, args.log_level)
run_model('Random_Forest', RandomForest(), aip_start_date, args.log_level)

except ValueError as err:
logger.error(err)
sys.exit()
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