Reena Elangovan, Shubham Jain, et al.
ACM TODAES
U.S. Department of Homeland Security analysts develop simulation models and tools to analyze the consequences of complex events on critical U.S. infrastructure and resources. An example of such an event is a coordinated cyber/physical attack that disables transportation and causes the release of a toxic chemical plume. The results can inform policymakers at the local, state, regional, and national levels. The Complex Event Modeling, Simulation, and Analysis, or CEMSA, program in the DHS Science and Technology Directorate is developing and deploying such a system to let analysts quickly integrate data, models, and expertise to arrive at credible consequence analysis of complex events. CEMSA aims to reduce turnaround time and costs, provide organic capabilities for risk analysis within DHS, enhance interoperability within DHS, and enable DHS to access and leverage the best available models within other government agencies, as well as within partner universities and industry.
Reena Elangovan, Shubham Jain, et al.
ACM TODAES
Minkyong Kim, Zhen Liu, et al.
INFOCOM 2008
G. Ramalingam
Theoretical Computer Science
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking