Tool for Assessing the Recuperation Time from an Electromagnetic Disruption for a Digital System

ABSTRACT:Vigilant Cyber Systems, Inc. (VCS) proposes to design and develop a Toolkit for Assessing Electromagnetic (EM) Disruption Recovery (TAEMDR) to simulate EM disruptions in digital systems and accurately assess operator response to the disruptions. TAEMDR is designed to be intuitive to use allowing test engineers to build very complex models of digital systems of various complexities from simple single board embedded systems to complex systems of systems (e.g. command and control systems and enterprise management systems) by buildup models from sub models using a drag and drop graphical user interface. Once the model of the system under test is crated, TAEMDR provides intuitive interfaces to allow the test engineer to design and conduct the test to determine the bounds of response time, and provides tools for querying and viewing test results.BENEFIT:TAEMDR will include several significant innovations and enhancements to the current state-of-the-art. First, will be based upon a taxonomy of EM disruption effects and mechanisms to simulate those effects in the SUT without actually damaging the system. Second, the system will include drag-and-drop GUI based modeling to allow the creation of complex models from simple blocks. Third, the models and models will be store is an open XML format to allow for a community of users to share models minimizing duplication of effort. Fourth, TAEMDR will include automation tools to create test sets and automate the execution of tests to minimize test engineer time. These automation features will leverage the lessons learned from the DARPA research on the National Cyber Range. Fifth, the system will utilize Vigilants Query Manager and View Manager Architecture to allow for interactive query and viewing of test results, allowing test engineers to visualize the results in a manner that allows for better understanding of the overall test results and allows for program managers to use the results of the testing to make informed better decisions.