Data mining techniques to study voting patterns in the US by Sikha Bagui, Dustin Mink, Patrick Cash

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Resampling to Classify Rare Attack Tactics in UWF-ZeekData22 by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam

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Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam

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Extended Isolation Forest for Intrusion Detection in Zeek Data by Fariha Moomtaheen, Sikha S. Bagui, Subhash C. Bagui, Dustin Mink

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Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks by Sikha Bagui, Dustin Mink, Subhash Bagui, Sakthivel Subramaniam, Daniel Wallace

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Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph by Sadaf Charkhabi, Peyman Samimi, Sikha S. Bagui, Dustin Mink, Subhash C. Bagui

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Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22 by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill, Marshall Elam

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Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark’s Machine Learning in the Big Data Framework by Sikha Bagui, Dustin Mink, Subhash Bagui, Tirthankar Ghosh, Tom McElroy, Esteban Paredes, Nithisha Khasnavis, Russell Plenkers

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Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework by Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russel Plenkers, Tom McElroy, Stephan Dulaney, Sajida Shabanali

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