Index Catalog // GW ScholarSpace

Description:: Cyber-attackers exploit people, processes, and technologies to steal high-value organizational data. The corresponding attacks are complex, cost organizations millions of dollars to resolve, and require rapid-response, architecture-based mitigation. Consequently, Cybersecurity strategies that...
Author:: Myauo, Michele
Keyword:: Cybersecurity, Cyber-Attack, Enterprise Architecture, Portfolio Management, Expert Judgment, and Systems Engineering
GW Unit:: Systems Engineering
Degree:: Ph.D.
Advisor:: Mazzuchi, Thomas A and Sarkani, Shahram
Committee Member(s):: Murphree, E. Lile, Bischoff, John, and Holzer, Thomas
Resource Type:: Thesis or Dissertation

Description:: The future of developing nations – both in terms of opportunities and challenges – is tied to the security of the information communications and technology (ICT) infrastructure. As many developing nations increase reliance on ICT to enable economic growth, they fail to commit an equivalent level...
Author:: Garlock, Kevin
Keyword:: Cybersecurity, Developing Nations, Cybersecurity maturity, and Cybersecurity Investments
GW Unit:: Engineering Management
Degree:: D.Engr.
Advisor:: Gideon, Alan and Guillaume-Joseph, Gina
Committee Member(s):: Gideon, Alan, Guillaume-Joseph, Gina, Murphree, E. Lile, Lark, Philip, and Etemadi, Amir
Resource Type:: Thesis or Dissertation

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

Description:: Current day Network Intrusion Detection Systems have several shortcomings such as high rates of false positive alerts, low detection rates of rare but dangerous attacks and the need for constant human intervention and tuning. Daily reports of incidents appear in public media including major...
Author:: Fossaceca, John M.
Keyword:: Cybersecurity, Pattern Recognition, Multiple Kernel Learning, Adaptive Boosting, Systems Engineering, and Machine Learning
GW Unit:: School of Engineering and Applied Science
Degree:: Ph.D.
Advisor:: Mazzuchi, Thomas A and Sarkani, Shahram
Committee Member(s):: Murphree, E. Lile, Eveleigh, Timothy, and Holzer, Thomas
Resource Type:: Thesis or Dissertation

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