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This presentation delves into anomaly detection, highlighting its importance and Shaikh Ayesha's research emphasis. It explores automated detection via machine learning, focusing on the use of features like Isolation Forest and pandas. Analysis of synthetic log data, comprising over 50,000 records, illustrates anomaly identification strategies and severity classification. Broader insights into network security and log analysis techniques are provided, along with the challenges posed by large...