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Kubernetes #103
Kubernetes #103
Commits on Jun 4, 2020
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Commits on Jun 5, 2020
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Merge pull request #13 from equalitie/action_fix
Unit tests and linting fixes.
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Commits on Jun 8, 2020
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Parameter model_path is implemented. ModelEnum names are used int the…
… configuration istead of full python model names.
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Commits on Jun 9, 2020
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Commits on Jun 10, 2020
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Rollback of the config change in model_path PR. Now, as before, engin…
…e.training.model refers to the full module path of the Model class(not the Enum key).
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Merge pull request #15 from equalitie/model_config_fix
Config fix for Model
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Commits on Jun 25, 2020
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New features: country and host. (#20)
Country and Host features. Stratified sampling(parameter 'max_samples_per_host'). Support for nested features in JSON parser(geoip feature fix).
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Commits on Jun 29, 2020
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Merge pull request #17 from equalitie/activity_1.1_pipeline_separation
Activity 1.1 pipeline separation
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Commits on Jul 7, 2020
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Commits on Jul 10, 2020
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Commits on Jul 11, 2020
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Merge pull request #28 from equalitie/issue_25_1.1_bug_fixes
Fill in prediction columns if no model
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Commits on Jul 22, 2020
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AttackDetection task. Anomaly and challenge thresholds. Anomaly metrics directly to Prometheus.
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Commits on Aug 4, 2020
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Separation Pipeline fixes (#31)
* Model logging. Spark-iforest-2.4.0.99.jar * Preprocessing pipeline fix. Categorical features fixes for new pipeline. SendToKafka task. New kafka producer from spark dataframe. * Preprocessing and Prediction pipelines tested with real logs and production kafka. Feature parsing fix. Carbon copy parameter for sending predictions to a separate client topic. Model path support for ServiceProvider. * Working pipelines: preprocessing, predit, postprocessing. * Merge branch 'develop' into model_logging # Conflicts: # src/baskerville/models/pipeline_tasks/tasks.py * Redis fix for timestamp. * Redis fix2 for timestamp. * Fix rs cache issue (#33) * RefreshCache(config) * created_at fix * RequestSet cache is commented out since it's still failing. * Extra comment removed from config validation. * Removed F.broadcast from request_cache * Fix for request cache update. Removing 'first_ever_request' column. * Debug pdb line removed. * Additional fix for cache update_self() * Unit test and linting fixes. * Linting fix. * Original target column (#35) Added `target_original` column * New training pipeline * Unit test fix. * Fix for 'target_original' in update cache. Co-authored-by: Maria Karanasou <karanasou@gmail.com>
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Commits on Aug 6, 2020
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Commits on Aug 7, 2020
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* Banjax reports. * Register banjax metrics only with -e argument.
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Commits on Aug 17, 2020
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* Redis password and config. * Redis ip in the config. Additional banjax metrics.
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Commits on Sep 14, 2020
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Sliding window for attack detection (#45)
* Using target instead of target_original in attack metrics. * Traffic light metric * Count anomalies metric removed. It should be directly queried from postgres. * Redis merge warning for missing data. * Sliding window for attack detection. * Cache loading fix (wrong old isdir) * Low rate attack detection * White list * Training loading schema fix. * Casting features values fix
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Commits on Sep 21, 2020
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Commits on Sep 23, 2020
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* Sliding window processing is disabled when attack_threshold is 0
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Commits on Sep 28, 2020
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All spark `persist` calls are commented out with a prefix `ppp`
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Low rate attack with 2 conditions (#56)
* Low rate attack with 2 conditions
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Commits on Oct 1, 2020
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Commits on Feb 3, 2021
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Evaluation and Labeling notebooks.
Greenhost (#62) * IPCache class added * no counts in logging * Full cache warning instead of exception. * IP cache persisting * logs message corrected with total * Thread safe singleton ip cache * White list fix. Challenged default zero fix. * Banned/passed reports from banjax * Extra logging removed * Two ip caches: passed and pending * Saving ip_passed cache in the file. * start report consumer even without -e * Banjax thread moved into AttackDetectin task * The new version of spark-iforest * White list ips optimized. * White list hosts added. * Host white listing is moved to send_challenge() * Spark standalone 3nodes deployment procedure. * ats_log_schema.json added. IForest removed from requirements.txt. spark_standalone.md updated. * count() is deleted everywhere * Spark secret. Count() removed from postprocessing. * spark encryption configuration added * spark ssl for ui, standalone and history config. * Sliding window in postprocesing is optional. Set sliding_window config param to zero to disable sliding_window(defaut is also zero now) * Markdown dependency removed due to the confict with pdoc. * model interpretation helpers and functional shapley with anomaly model * improve shap calculation's udf * OriginIPs class for getting the list of original ips for whitelisting in postprocessing pipeline. * Hot model upgrade (#65) notebook commits
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Commits on Feb 15, 2021
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Processing 'ip_passsed_challege2' from banjax
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Reuse parameter in model.predict() (#72)
* reuse_dataframe parameter in model.predict() * reuse spark workers to True
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Commits on Feb 26, 2021
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Commits on Mar 26, 2021
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* S3 support * memory only request_cahce * second URL for OriginIPs
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Commits on Apr 12, 2021
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Commits on Apr 15, 2021
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Merge pull request #80 from equalitie/model_retrain_live_load
Deliverable: Model with ability for dynamic updates
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Commits on Apr 17, 2021
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Commits on Apr 20, 2021
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Merge pull request #83 from equalitie/production_tuning_1
Production tuning 1
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Commits on May 20, 2021
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* IPCache * Two ip caches: passed and pending * Docker image with unit tests complete. * The new version of spark-iforest * Kafka is up and running * Spark secret. * spark encryption configuration added * spark ssl for ui, standalone and history config. * self.__cache.count() replaced with head() * send to kafka by partition id * bug fix in accummulator reset * disable broadcast spark.sql.autoBroadcastJoinThreshold * Sliding window in postprocesing is optional. Set sliding_window config param to zero to disable sliding_window(defaut is also zero now) * Redis merge logging count() before and after * Postprocessing: rollback to sending challenge with collect() due to performance issues * append mode for Redis write. * Fix for default 'challenged' column set to 0. * Spark worker Dockerfile * pyspark bump to 2.4.7 * Argo dockerfile moved to dockerfiles folder. * spark 2.4.6 * S3 support. Alternating cache files instead of renaming. * No s3 deletion. * use_storage option for request_set_cache * Support for using kafka for sensitive data. * Support for send_by_partitions for sensitive data. * Support for github raw configs. Support for storing sensitive data in Kafka. * Git config support with ssh. * Kubernetes client mode spark deployment. * White list urls from dashboard url link. * Whitelisting IPs in preprocessing * Whitelisting IPs without UDF Co-authored-by: Maria Karanasou <karanasou@gmail.com>
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Commits on Jun 1, 2021
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Support for kafka connection configuration per client. (#85)
client_mode in the config. Separate clearing_house connection.
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Commits on Jun 29, 2021
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Fixing whitelist ips. Switched to left_anti join.
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Commits on Sep 21, 2021
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* Kubernetes deployment. Not finished. * Jupyter notebook with spark. * Kafka ACL
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Commits on Nov 8, 2021
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* 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.
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Commits on Nov 17, 2021
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start in whitelist urls fix in sending to kafka
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Commits on Dec 13, 2021
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Commits on Dec 14, 2021
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Commits on Dec 28, 2021
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Commits on Jan 3, 2022
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Dynamic threshold. We use a more aggressive threshold if an incident …
…is being detected. (#100)
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Commits on Jan 6, 2022
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Commits on Jan 19, 2022
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JAVA sdk downgraded to fix s3 issue. Incident detector null fix. Opti…
…onal low rate attack detection. (#102)
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