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Filtering by: Advisor Dever, Jason Advisor Stuban, Steven Committee Member Murphree, E. Lile GW Unit Systems Engineering

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1. Predict Insider Threats Using LRM

Description:: Insider threats are one of the most damaging threats to modern systems. The ubiquity of cybersecurity problems related to insider threats promoted various solutions over the years. However, effective solutions are undermined by mathematical algorithms and host-based event driven techniques that...
Author:: Mills, Jennifer U.
Keyword:: Cybersecurity, Insider Threats, Logistic Regression, and Systems Engineering
GW Unit:: Systems Engineering
Degree:: Ph.D.
Advisor:: Dever, Jason and Stuban, Steven
Committee Member(s):: Dever, Jason, Murphree, E. Lile, Stuban, Steven, Sarkani, Shahram, and Mazzuchi, Thomas
Resource Type:: Thesis or Dissertation