Consequence analysis of complex events on critical U.S. infrastructure

Adam, Nabil R.; Stiles, Randy; Zimdars, Andrew; Timmons, R.; Leung, Jackie; Stachnick, Greg; Merrick, J.; Coop, Robert; Slavin, Vadim; Kruglikov, Tanya; Galmiche, John; Mehrotra, Sharad

doi:10.1145/2461256.2461276

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…While the complex systems arising within each sector are understood to varying degrees, systems of complex systems are very poorly understood, and it is clear that modeling and simulation will play a critical role in studying their behavior. The importance of interactions among infrastructures has similarly been recognized in creating cities that are more resilient to natural and human-caused disasters and emergencies, and integration of infrastructure simulations remains an important challenge today [Adam et al 2013].…”

Section: Creating Rapidly Composable Distributed Simulationsmentioning

confidence: 99%

Research Challenges in Parallel and Distributed Simulation

Fujimoto

2016

ACM Trans. Model. Comput. Simul.

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The parallel and distributed simulation field has evolved and grown from its origins in the 1970s and 1980s and remains an active field of research to this day. A brief overview of research in the field is presented. Future research topics are explored including areas such as problem-driven simulation of large-scale systems and complex networks, exploitation of graphical processing unit hardware and cloud computing environments, predictive online simulation for system management and optimization, power and energy consumption in mobile platforms and data centers, and composition of heterogeneous simulations.

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Section: Creating Rapidly Composable Distributed Simulationsmentioning

confidence: 99%

Research Challenges in Parallel and Distributed Simulation

Fujimoto

2016

ACM Trans. Model. Comput. Simul.

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“…A methodology for analysing the compromise of a deployed tactical network has been proposed by Asman et al (2011). Homeland security applications were approached in Kotenko (2007), in some work on multi-agent modelling and simulation of cyber-attacks and cyber-defence; a recent work on how to mitigate a cyber-physical attack that disables the transportation network and releases a cloud of chlorine gas has been published by the US Department of Homeland Security, whose security analysts developed simulation models and tools to analyse the consequences of complex events on critical US infrastructure and resources (Adam et al, 2013); the analysis of ICT infrastructures respect cyber security issues could be addressed even by risk analysis and Monte Carlo simulation using high performance computing (HPC) to solve the computational workload (Baiardi et al, 2011); therefore in most of the cases it could be necessary to include the stochastic components with functional and operational models; for instance this paper addresses the point of combining actions over the real with the cyber battlefield in a coordinated way, indeed this point is supposed to have a major impact on future war operations (Jakobson, 2004).…”

Section: State Of the Art Overviewmentioning

confidence: 99%

Infrastructures protection based on heterogeneous networks

Bruzzone

Massei

Poggi

2016

IJSPM

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This paper presents a modelling approach for mapping cyber defence issues with respect to heterogeneous networks; the research is devoted to develop an agent-driven simulation environment able to analyse this problem considering different layers including CIS capabilities, operational issues, system architecture, management processes and human factors. The paper analyses a specific case study to validate and verify the proposed modelling approach; the scenario is focused on a heterogeneous network applied to an extended maritime environment including autonomous underwater vehicles (AUV), sensors, platforms, vessels, satellites and relevant military assets and threats. The present document uses this case study as example of system of systems to be simulated including cyber warfare issues to evaluate their impact on operations.

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“…In addition to such geo-localized data, inference tools need to be developed to efficiently determine share risk groups and improve network design even for medium-sized operator networks. A noteworthy example in this direction is [1].…”

Section: Going Beyond a Graph Representationmentioning

confidence: 99%

All quiet on the internet front?

Doerr

Kuipers

2014

IEEE Commun. Mag.

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With the proliferation and increasing dependency of many services and applications on the Internet, this network has become a vital societal asset. This creates the need to protect this critical infrastructure, and over the past years a variety of resilience schemes have been proposed. The effectiveness of protection schemes, however, highly depends on the causes and circumstances of Internet failures, but a detailed comprehensive study of this is not yet available to date. This paper provides a high-level summary of an evaluation of Internet failures over the past 6 years, and presents a number of recommendations for future network resilience research.

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Consequence analysis of complex events on critical U.S. infrastructure

Abstract: How to mitigate a cyber-physical attack that disables the transportation network and releases a cloud of chlorine gas.

Cited by 6 publications

References 3 publications

Research Challenges in Parallel and Distributed Simulation

Research Challenges in Parallel and Distributed Simulation

Infrastructures protection based on heterogeneous networks

All quiet on the internet front?

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