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A COMMON COMPONENT-BASED SOFTWARE ARCHITECTURE FOR MILITARY AND COMMERCIAL PC-BASED VIRTUAL SIMULATION
Title
A COMMON COMPONENT-BASED SOFTWARE ARCHITECTURE FOR MILITARY AND COMMERCIAL PC-BASED VIRTUAL SIMULATION.
Creator
Lewis, Joshua, Proctor, Michael, University of Central Florida
Abstract / Description
Commercially available military-themed virtual simulations have been developed and sold for entertainment since the beginning of the personal computing era. There exists an intense interest by various branches of the military to leverage the technological advances of the personal computing and video game industries to provide low cost military training. By nature of the content of the commercial military-themed virtual simulations, a large overlap has grown between the interests, resources,...
Show moreCommercially available military-themed virtual simulations have been developed and sold for entertainment since the beginning of the personal computing era. There exists an intense interest by various branches of the military to leverage the technological advances of the personal computing and video game industries to provide low cost military training. By nature of the content of the commercial military-themed virtual simulations, a large overlap has grown between the interests, resources, standards, and technology of the computer entertainment industry and military training branches. This research attempts to identify these commonalities with the purpose of systematically designing and evaluating a common component-based software architecture that could be used to implement a framework for developing content for both commercial and military virtual simulation software applications.
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Date Issued
2006
Identifier
CFE0001268, ucf:46893
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001268
A COMMON COMPONENT-BASED SOFTWARE ARCHITECTURE FOR MILITARY AND COMMERCIAL PC-BASED VIRTUAL SIMULATION
Title
A COMMON COMPONENT-BASED SOFTWARE ARCHITECTURE FOR MILITARY AND COMMERCIAL PC-BASED VIRTUAL SIMULATION.
Creator
Lewis, Joshua, Proctor, Michael, University of Central Florida
Abstract / Description
Commercially available military-themed virtual simulations have been developed and sold for entertainment since the beginning of the personal computing era. There exists an intense interest by various branches of the military to leverage the technological advances of the personal computing and video game industries to provide low cost military training. By nature of the content of the commercial military-themed virtual simulations, a large overlap has grown between the interests, resources,...
Show moreCommercially available military-themed virtual simulations have been developed and sold for entertainment since the beginning of the personal computing era. There exists an intense interest by various branches of the military to leverage the technological advances of the personal computing and video game industries to provide low cost military training. By nature of the content of the commercial military-themed virtual simulations, a large overlap has grown between the interests, resources, standards, and technology of the computer entertainment industry and military training branches. This research attempts to identify these commonalities with the purpose of systematically designing and evaluating a common component-based software architecture that could be used to implement a framework for developing content for both commercial and military virtual simulation software applications.
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Date Issued
2006
Identifier
CFE0001177, ucf:46868
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001177
Analysis of Remote Tripping Command Injection Attacks in Industrial Control Systems Through Statistical and Machine Learning Methods
Title
Analysis of Remote Tripping Command Injection Attacks in Industrial Control Systems Through Statistical and Machine Learning Methods.
Creator
Timm, Charles, Caulkins, Bruce, Wiegand, Rudolf, Lathrop, Scott, University of Central Florida
Abstract / Description
In the past decade, cyber operations have been increasingly utilized to further policy goals of state-sponsored actors to shift the balance of politics and power on a global scale. One of the ways this has been evidenced is through the exploitation of electric grids via cyber means. A remote tripping command injection attack is one of the types of attacks that could have devastating effects on the North American power grid. To better understand these attacks and create detection axioms to...
Show moreIn the past decade, cyber operations have been increasingly utilized to further policy goals of state-sponsored actors to shift the balance of politics and power on a global scale. One of the ways this has been evidenced is through the exploitation of electric grids via cyber means. A remote tripping command injection attack is one of the types of attacks that could have devastating effects on the North American power grid. To better understand these attacks and create detection axioms to both quickly identify and mitigate the effects of a remote tripping command injection attack, a dataset comprised of 128 variables (primarily synchrophasor measurements) was analyzed via statistical methods and machine learning algorithms in RStudio and WEKA software respectively. While statistical methods were not successful due to the non-linearity and complexity of the dataset, machine learning algorithms surpassed accuracy metrics established in previous research given a simplified dataset of the specified attack and normal operational data. This research allows future cybersecurity researchers to better understand remote tripping command injection attacks in comparison to normal operational conditions. Further, an incorporation of the analysis has the potential to increase detection and thus mitigate risk to the North American power grid in future work.
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Date Issued
2018
Identifier
CFE0007257, ucf:52193
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007257