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Anomaly Detection for Network Connection Logs

By Swapneel Mehta and others
We leverage a streaming architecture based on ELK, Spark and Hadoop in order to collect, store, and analyse database connection logs in near real-time. The proposed system investigates outliers using unsupervised learning; widely adopted clustering and classification algorithms for log data, highlighting the subtle variances in each model by visualisation... Show more
December 1, 2018
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