Ingress #129
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Ingress #129
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Unit tests and linting fixes.
… configuration istead of full python model names.
model_path parameter
…e.training.model refers to the full module path of the Model class(not the Enum key).
Config fix for Model
Country and Host features. Stratified sampling(parameter 'max_samples_per_host'). Support for nested features in JSON parser(geoip feature fix).
* DB reader * SQL based incident detector * Attack detection and chunks removed from AttackDetection task. * Incident detector added. * Incident Labeler class. Tested in Jupyter notebook. * Optional scaling in AnomalyModel * Some fixes in Jupyter notebooks.
start in whitelist urls fix in sending to kafka
…is being detected. (#100)
…onal low rate attack detection. (#102)
* Debug log line removed from AttackDetection * Organization creating is optional. No classifier in labeler.
* Classifier model. 'classifier_score' column. DBReader fix. * Classifier pipeline. Incident loader class. Train classifier task.
* Incident detector. Fix for delayed stop. * Unit tests are working now. * Linting fixes.
…aly score rather than on both anomaly and classifier score. The reason is that classifier is biased towards historical incidents and is not good in detecting previously unseen patterns. (#113)
parsing weblog in spark
* postprocessing streamin to s3. Tested. * Readme update. NA fix in postprocessing
* new json weblogs format
* Lostash deployment. LoadBalancer in Kafka. * Logstash, prediction_behave column, timescaledb.
* Elastic search added to the deployment.
* Host as a key in send_challenge. First testing version of utm_source, utm_medium, utm_capmpaign cstats columns. * Kafka field names fixes.
* Whitelisting solved challenge IPs * 20m stats topic size increase. 80GB kafka storage increase. * domain whitelisting fix * Grace period for fresh sessions. Warmup period for sessions.
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