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Dr. Lorie M. Liebrock


Sample Current Research Projects


The Emultyics / Operating Systems Intelligence project is collecting data from a wide variety of websites for analysis. The analysis ranges from analyzing specific types of hardware to compare the rate of vulnerabilities by device type and vendor to analyzing frequently publishing cybersecurity experts predictions to determine the best prognosticators of major cybersecurity events. We are specifically collecting and analyzing threats to traditional and non-traditional information technology systems. In addtion, we are analyzing various online sources to attempt to identify anti-language in cybersecurity. This work is being explored collaboratively with and partially supported by Sandia National Laboratories.

The goal of this effort is to automate the gathering of threat information, processing of the information with the explicit goal of improving the recreation of the APT:

Some of the initial tasks that NMT is exploring:


Enterprise-Wide Cybersecurity

Enterprise-Wide Cybersecurity involves analyzing data across individual computer events and traffic in an enterprise to better secure the collective of all machines in the enterprise. This large scale work is being explored collaboratively with Sandia National Laboratories and the Institute for Complex Additive Systems Analysis. 

The research project involves integration of the advanced technologies. 

Research Overview

Dr. Lorie Liebrock's research interests focus on issues related to cybersecurity. Her overriding interest is in enterprise-wide cybersecurity to improve large scale cybersecurity. She has worked with numerous students on a variety of issues in cybersecurity from analysis of impact of legal and policy changes on organizations, to metrics for determining the effectiveness of classifiers on applied problems, to forensics, enterprise-wide cybersecurity, and emulytics. Her approach to cybersecurity research integrates the transdisciplinary breadth of cybersecurity - from computer science, to policy, to psychology.

She has also done significant research in parallel computing. One long term focus is on using problem topology during compilation. In particular, the use of topology to automate data distribution and allow application of regular application optimizations to partially regular problems. She has developed algorithms for automatic distribution of irregularly coupled regular mesh (a.k.a. composite grid or multiblock) problems, e.g., aircraft aerodynamics and water-cooled nuclear reactor simulations, via the use of problem topology. For use with these automatic distribution algorithms, she has developed a program template and a set of style guidelines for these applications that allow automatic transformation of an application code with no notion of data distribution into a standard High Performance Fortran program with complete distribution specification.