Modelling methodologies for analysing critical infrastructures

References

• Basu, N., Pryor, R., & Quint, T. (1998). ASPEN: A microsimulation model of the economy. Computational Economics, 12(3), 223–241 . Available at: https://ejournal.csiro.au/cgi-bin/sciserv.pl?collection=journals&journal=09277099&issue=v12i0003&article=223_aammote10.1023/A:1008691115079
   Google Scholar
• Cagno, E., Ambroggi, M., & Grande, O. (2011). Risk analysis of underground infrastructures in urban areas. Reliability Engineering and System Safety, 96(1), 139–148.10.1016/j.ress.2010.07.011
   Web of Science ®Google Scholar
• Cardellini, V., Casalicchio, E., & Galli, E. (2007). Agent-based modeling of interdependencies in critical infrastructures through UML. In Proceedings of the 2007 spring simulation multiconference (pp. 119–126). Retrieved from http://dl.acm.org/citation.cfm?id=1404699
   Google Scholar
• Casalicchio, E., Galli, E., & Tucci, S. (2007). Federated agent-based modeling and simulation approach to study interdependencies in IT critical infrastructures. 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications (DS-RT’07) (pp. 182–189). Retrieved from http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=438454710.1109/DS-RT.2007.11
   Google Scholar
• Casalicchio, E., Galli, E., & Tucci, S. (2010). Agent-based modelling of interdependent critical infrastructures. International Journal of System of Systems Engineering, 2(1), 60. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-78751552116&partnerID=tZOtx3y110.1504/IJSSE.2010.035381
   Google Scholar
• Comes, T., & Van De Walle, B. (2014). Measuring disaster resilience: The impact of hurricane sandy on critical infrastructure systems. ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management, November 2013 (pp. 195–204). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84905859939&partnerID=40&md5=f1b8e89c92933af5a66610e729642533
   Google Scholar
• Dahmann, J. S., Fujimoto, R. M., & Weatherly, R. M.. (1997). The department of defense high level architecture. In Proceedings of the 1997 Winter Simulation Conference (pp. 142–149).
   Google Scholar
• Ehlen, M. A., & Scholand, A. J. (2005). Modeling interdependencies between power and economic sectors using the N-ABLE agent-based model. IEEE Power Engineering Society General Meeting, 2005 (circa), 1–5.
   Google Scholar
• Eusgeld, I., & Nan, C. (2009). Creating a simulation environment for critical infrastructure interdependencies study. IEEM 2009 – IEEE International Conference on Industrial Engineering and Engineering Management (pp. 2104–2108).10.1109/IEEM.2009.5373155
   Google Scholar
• Eusgeld, I., Nan, C., & Dietz, S. (2011). “System-of-systems” approach for interdependent critical infrastructures. Reliability Engineering and System Safety, 96(6), 679–686. doi:10.1016/j.ress.2010.12.01010.1016/j.ress.2010.12.010
   Web of Science ®Google Scholar
• Falagas, M. E., Pitsouni, E., & Malietzis, G. (2008). Comparison of pubmed, scopus, web of science, and google scholar: Strengths and weaknesses. The FASEB Journal: Official publication of the Federation of American Societies for Experimental Biology, 22(2), 338–342. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/17884971
   PubMed Web of Science ®Google Scholar
• Forrester, J. W. (1961). Industrial dynamics. Harvard Bussiness Review.
   Google Scholar
• Ghorbani, A. A., & Bagheri, E. (2008). The state of the art in critical infrastructure protection: A framework for convergence. International Journal of Critical Infrastructures, 4(3), 215. Retrieved from http://www.inderscience.com/link.php?id=17438
   Google Scholar
• Gursesli, O., & Desrochers, A. a. (2003). Modeling infrastructure interdependencies using Petri nets. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme – System Security and Assurance (Vol. 2, pp. 1506–1512).
   Google Scholar
• Guz, A. N., & Rushchitsky, J. J. (2009). Scopus: A system for the evaluation of scientific journals. International Applied Mechanics, 45(4), 351–362.10.1007/s10778-009-0189-4
   Google Scholar
• Heracleous, C., Panayiotou, C., & Polycarpou, M. (2015, August). Modeling interdependent critical infrastructures using open hybrid automata. Proceedings – IEEE INFOCOM (pp. 671–676).
   Google Scholar
• Hern, A. (2016, January 7). Ukrainian blackout caused by hackers that attacked media company, researchers say. The Guardian. Retrieved from https://www.theguardian.com/technology/2016/jan/07/ukrainian-blackout-hackers-attacked-media-company
   Google Scholar
• Hernandez-fajardo, I., & Duen, L. (2013). Probabilistic study of cascading failures in complex interdependent lifeline systems., 111, 260–272.
   Google Scholar
• Hernantes, J., Rich, E., & Lauge, A. (2013). Learning before the storm: Modeling multiple stakeholder activities in support of crisis management, a practical case. Technological Forecasting and Social Change, 80(9), 1742–1755. doi:10.1016/j.techfore.2013.01.002
   Web of Science ®Google Scholar
• Kaegi, M., Mock, R., & Kröger, W. (2009). Analyzing maintenance strategies by agent-based simulations: A feasibility study. Reliability Engineering and System Safety, 94(9), 1416–1421.10.1016/j.ress.2009.02.002
   Web of Science ®Google Scholar
• Kollikkathara, N., Feng, H., & Yu, D. (2010). A system dynamic modeling approach for evaluating municipal solid waste generation, landfill capacity and related cost management issues. Waste Management, 30(11), 2194–2203.10.1016/j.wasman.2010.05.012
   PubMed Web of Science ®Google Scholar
• Kröger, W. (2008). Critical infrastructures at risk: A need for a new conceptual approach and extended analytical tools. Reliability Engineering and System Safety, 93(12), 1781–1787.10.1016/j.ress.2008.03.005
   Web of Science ®Google Scholar
• Laugé, A., Hernantes, J., & Sarriegi, J.M. (2013. The role of critical infrastructures’ interdependencies on the impacts caused by natural disasters. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8328 LNCS (pp. 50–61).
   Google Scholar
• Little, R. G. (2002). Controlling cascading failure: Understanding the vulnerabilities of interconnected infrastructures. Journal of Urban Technology, 9(1), 109–123.10.1080/106307302317379855
   Web of Science ®Google Scholar
• Min, H. S. J., Beyeler, W., Brown, T., Son, Y. J., & Jones, A. T. (2007). Toward modeling and simulation of critical national infrastructure interdependencies. IIE Transactions, 39(1), 57–71 . Available at: http://www.tandfonline.com/doi/abs/10.1080/0740817060094000510.1080/07408170600940005
   Web of Science ®Google Scholar
• Nan, C., Eusgeld, I., & Kröger, W. (2013). Analyzing vulnerabilities between SCADA system and SUC due to interdependencies. Reliability Engineering and System Safety, 113(1), 76–93.10.1016/j.ress.2012.12.014
   Google Scholar
• O’Reilly, G. P., & Jrad, A. (2007). Telecom critical infrastructure simulations: Discrete event simulation vs. dynamic simulation how do they compare? In GLOBECOM - IEEE Global Telecommunications Conference (pp. 2597–2601).
   Google Scholar
• Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety, 121, 43–60. doi:10.1016/j.ress.2013.06.040
   Google Scholar
• Panzieri, S., Setola, R., & Ulivi, G. (2004, October 1). An agent based simulator for critical interdependent infrastructures. Proceedings of the 2nd International Conference on Critical Infrastructures (CRIS) (pp. 24–27). Retrieved from http://www.see.asso.fr/clubs_techniques/se/xmedia/Club_Tech_SE-2001-2008/2004/CRIS-Grenoble-10-04/S4/s4-a5.pdf
   Google Scholar
• Pederson, P., Dudenhoeffer, D., & Hartley, S. (2006, August). Critical infrastructure interdependency modeling: A survey of US and international research. Idaho National Laboratory (pp. 1–20). Retrieved from http://http://cip.management.dal.ca/publications/CriticalInfrastructureInterdependencyModeling.pdf
   Google Scholar
• Raskob, W., & Wandler, S. (2015). Agent-based modelling to identify possible measures in case of Critical Infrastructure disruption. Proceedings of the ISCRAM 2015 Conference – Kristiansand, May 24–27.
   Google Scholar
• Rinaldi, S. M. (2004). Modeling and simulating critical infrastructures and their interdependencies. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the, 0(C) (pp. 1–8). Retrieved from http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1265180%5Cnhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1265180
   Google Scholar
• Rinaldi, S. M., Peerenboom, J. P., & Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.10.1109/37.969131
   Web of Science ®Google Scholar
• Santos, J. R., Haimes, Y. Y., & Lian, C. (2007). A framework for linking cybersecurity metrics to the modeling of macroeconomic interdependencies. Risk Analysis, 27(5), 1283–1297.10.1111/risk.2007.27.issue-5
   Web of Science ®Google Scholar
• Sarriegi, J. M., Sveen, F. O., Torres, J. M., & Gonzalez, J. J. (2008). Towards a research framework for critical infrastructure interdependencies. International Journal of Emergency Management, 5(3–4), 235–249. Retrieved from http://www.inderscienceonline.com/doi/abs/10.1504/IJEM.2008.02509410.1504/IJEM.2008.025094
   Google Scholar
• Sarriegi, J. M., Sveen, F. O., Torres, J. M., & Gonzalez, J. J. (2009). Adaptation of modelling paradigms to the CIs interdependencies problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5508 LNCS (pp. 295–301).
   Google Scholar
• Schoenwald, D. A., Barton, D. C., & Ehlen, M. A. (2004). An agent-based simulation laboratory for economics and infrastructure interdependency. Proceedings of the 2004 American Control Conference, Vol. 2 (pp. 1295–1300).
   Google Scholar
• Setola, R., De Porcellinis, S., & Sforna, M. (2009). Critical infrastructure dependency assessment using the input-output inoperability model. International Journal of Critical Infrastructure Protection, 2(4), 170–178. doi:10.1016/j.ijcip.2009.09.00210.1016/j.ijcip.2009.09.002
   Web of Science ®Google Scholar
• Stapelberg, R. (2010). Infrastructure systems interdependencies and risk informed decision making (RIDM): Impact scenario analysis of infrastructure risks induced by natural, technological and intentional hazards. Analysis, 6(5), 21–27. Retrieved from http://www.iiisci.org/journal/CV$/sci/pdfs/R105SQ.pdf%5Cnhttp://www.iiisci.org/journal/CV$/sci/pdfs/R105SQ.pdf
   Google Scholar
• Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. Journal of the Operational Research Society, 53, 982. Retrieved from http://www.amazon.com/dp/0071179895
   Web of Science ®Google Scholar
• Szoldra, P. (2015, January 5). Hackers caused a major blackout for the first time. Business Insider. Retrieved from http://www.businessinsider.com/cyberattack-blackout-ukraine-2016-1
   Google Scholar
• US Homeland Security. (2016). Critical infrastructure sectors: Emergency services sector. Retrieved from https://www.dhs.gov/emergency-services-sector
   Google Scholar
• Walsh, S., Cherry, S., & Roybal, L. (2009). Critical infrastructure modeling: An approach to characterizing interdependencies of complex networks & control systems. 2009 2nd Conference on Human System Interactions (pp. 637–641). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-70349999191&partnerID=tZOtx3y110.1109/HSI.2009.5091052
   Google Scholar
• Yin, R. K. (2013). 5 Essential guide to qualitative methods in organizational research. Case Study Research: Design and Methods.
   Google Scholar
• Zio, E., & Sansavini, G. (2011). Modeling interdependent network systems for identifying cascade-safe operating margins. IEEE Transactions on Reliability, 60(1), 94–101.10.1109/TR.2010.2104211
   Web of Science ®Google Scholar