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Aarland, M., Radianti, J., & Gjøsæter, T. (2023). Using System Dynamics to Simulate Trust in Digital Supply Chains. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 516–529). Omaha, USA: University of Nebraska at Omaha.
Abstract: The power industry is outsourcing and digitalising their services to provide better, faster, and more reliable supply of electric power to the society. As a result, critical infrastructure increases in complexity and tight couplings between multiple suppliers and systems in digital supply chains. It also introduces new risks and challenges that are difficult to manage for critical infrastructure owners. To address the vulnerability in digital supply chains, we have developed a system dynamics model that represent important challenges to manage cybersecurity in digital supply chains, based on input from an expert group in the power industry. The system dynamics model illustrates how trust in suppliers as well as the need for control play important roles in outsourcing. Scenarios were developed and simulated.
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Abdelgawad, A. A. (2023). An Updated System Dynamics Model for Analysing the Cascading Effects of Critical Infrastructure Failures. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 595–608). Omaha, USA: University of Nebraska at Omaha.
Abstract: Aiming at examining the cascading effects of the failure of Critical Infrastructure (CI), this work-in-progress research introduces an improved System Dynamics model. We represent an improvement over the previous models aimed at studying CIs interdependencies and their cascading effects. Our model builds on earlier models and corrects their flaws. In addition to introducing structural enhancements, the improvements include using unpublished data, a fresh look at a previously collected dataset and employing a new data processing to address and resolve some longstanding issues. The dataset was fed to an optimisation model to produce a new dataset used in our model. The structure of our SD model, its dataset and the data processing techniques we employed to create this dataset are all described in the study. Although the model has passed the fundamental validation criteria, more validation testing and scenario exploration are yet to be conducted.
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Alexander Gabriel, Florian Klein, & Frank Fiedrich. (2020). Modelling of Passenger Handling Processes in Railway Stations – A Mixed-Methods Approach. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 580–592). Blacksburg, VA (USA): Virginia Tech.
Abstract: The constantly increasing number of passengers using public transportation leads to an expansion of the ser-vices offered by public transportation companies. The existing transportation infrastructures, especially rail-way stations, can only partly cope with this rapid growth. There is already overcrowding on platforms and access routes, especially during disruptions caused by natural disasters or major public events. This crowding may result in personal injury or shutdown of operations for safety reasons. The research project CroMa aims at improving robustness, safety, security and performance of railway stations at peak loads. The paper contributes thereto by developing an approach to assess railway infrastructure in terms of the risk of overcrowding. The core of this research is to combine qualitative workshop results with quantitative database analysis. Furthermore, the paper gives an outlook on the ongoing process model development as a basis for a semi-quantitative evaluation tool for railway stations applicable by end users.
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Alexander Gabriel, Simon Schleiner, Florian Brauner, Florian Steyer, Verena Gellenbeck, & Ompe Aimé Mudimu. (2017). Process modelling of physical and cyber terrorist attacks on networks of public transportation infrastructure. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 390–399). Albi, France: Iscram.
Abstract: Recent events have demonstrated the vulnerability of IT-systems of different companies, organisations or even governments to hacker attacks. Simultaneously, information technologies have become increasingly established and important for institutions of various branches. With respect to modern terrorism developments, cyber-attacks may be used to physically harm critical infrastructures. This leads to a new dimension of cyber-attacks called “terrorist cyber-attacks”. This research-in-progress paper aims to develop a process model for data acquisition and support of decision making that seeks to enhance the security of public transportation in the context of counterterrorism. Therefore, a generic process model for terrorist cyber-attacks – produced in the research project RE(H)STRAIN1 – is intro-duced as a basis for a decision support system (DSS). In the future, such models could improve the decision process by comparing the effectiveness of different security measures.
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Ana Rodríguez-Hoyos, José Estrada-Jiménez, David Rebollo-Monedero, Jordi Forné, Rubén Trapero Burgos, Antonio Álvarez Romero, et al. (2019). Anonymizing Cybersecurity Data in Critical Infrastructures: The CIPSEC Approach. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Cybersecurity logs are permanently generated by network devices to describe security incidents. With modern
computing technology, such logs can be exploited to counter threats in real time or before they gain a foothold.
To improve these capabilities, logs are usually shared with external entities. However, since cybersecurity logs
might contain sensitive data, serious privacy concerns arise, even more when critical infrastructures (CI), handling
strategic data, are involved.
We propose a tool to protect privacy by anonymizing sensitive data included in cybersecurity logs. We implement
anonymization mechanisms grouped through the definition of a privacy policy. We adapt said approach to the
context of the EU project CIPSEC that builds a unified security framework to orchestrate security products, thus
offering better protection to a group of CIs. Since this framework collects and processes security-related data from
multiple devices of CIs, our work is devoted to protecting privacy by integrating our anonymization approach.
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Axel Dierich, Katerina Tzavella, Neysa Jacqueline Setiadi, Alexander Fekete, & Florian Neisser. (2019). Enhanced Crisis-Preparation of Critical Infrastructures through a Participatory Qualitative-Quantitative Interdependency Analysis Approach. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Critical Infrastructure (CI) failures are aggravated by cascading effects due to interdependencies between
different infrastructure systems and with emergency management. Findings of the German, BMBF-funded
research project ?CIRMin? highlight needs for concrete assessments of such interdependencies. Driven by
challenges of limited data and knowledge accessibility, the developed approach integrates qualitative
information from expert interviews and discussions with quantitative, place-based analyses in three selected
German cities and an adjacent county.
This paper particularly discusses how the mixed methods approach has been operationalized. Based on
anonymized findings, it provides a comprehensive guidance to interdependency analysis, from survey and
categorization of system elements and interrelations, their possible mutual impacts, to zooming into selected
dependencies through GIS mapping. This facilitates reliably assessing the need for maintenance of critical
functionalities in crisis situations, available resources, auxiliary powers, and optimization of response time.
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Benjamin Herfort, Melanie Eckle, João Porto de Albuquerque, & Alexander Zipf. (2015). Towards assessing the quality of volunteered geographic information from OpenStreetMap for identifying critical infrastructures. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Identifying the assets of a community that are part of its Critical Infrastructure (CI) is a crucial task in emergency planning. However, this task can prove very challenging due to the costs involved in defining the methodology and gathering the necessary data. Volunteered Geographic Information from collaborative maps such as OpenStreetMap (OSM) may be able to make a contribution in this context, since it contains valuable local knowledge. However, research is still due to assess the quality of OSM for the particular purpose of identifying critical assets. To fill this gap, this paper proposes a catalogue of critical asset types, based on the analysis of different reference frameworks. We thus analyze how good the emergent OSM data model is for representing these asset types, by verifying whether they can be mapped to tags used by the OSM community. Results show that critical asset types of all selected sectors and branches are well represented in OSM.
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Björn Johan Erik Johansson, Amanda Jaber, Joeri van Laere, & Peter Berggren. (2018). The lack of preparedness for payment disruptions in local community core businesses. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 904–913). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: One of the most important infrastructures for society is the payment system. If this system malfunctions, it can lead to disruptions in other critical infrastructures. By developing resilience i.e. the ability to recover or resist different disruptions in complex dynamic systems, as well as analyzing and raising awareness about it, such events can hopefully be handled better. The purpose of this study is to gain an insight into the different sectors' ways of dealing with disturbances in the payment system. Six participants from the food, fuel and bank sectors were interviewed using semi-structured questions. The interviews were conducted and data was analyzed using a thematic analysis approach. The results indicate a low level of resilience maturity among these organizations when it comes to handle long-term disruptions in the payment systems. The results provide valuable input to the project and a better understanding of payment infrastructure resilience.
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Boris Petrenj, Mariachiara Piraina, Giada Feletti, Paolo Trucco, Valentina Urbano, & Stefano Gelmi. (2021). Cross-border Information Sharing for Critical Infrastructure Resilience: Requirements and Platform Architecture. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 247–259). Blacksburg, VA (USA): Virginia Tech.
Abstract: Resilience of Critical Infrastructures is high on the agenda of countries' efforts. Modern CI highly interdependent and span countries, so disruptions occurring on one side of the border can significantly affect economic and social functions on the other. To build CI resilience, stakeholder organizations must collaborate and exchange information throughout the Emergency Management cycle. In this paper, we present the Critical Infrastructure Platform (PIC in Italian) which is being developed within the SICt project (Resilience of Cross-Border Critical Infrastructure). PIC is a technological piece of a broader cross-border regional resilience strategy between Lombardy Region (Italy) and Canton Ticino (Switzerland) aiming to improve the capacity to manage accidental events involving transportation CI between the two countries. The main goal of the PIC platform is to support secure and effective information-sharing, inter-organizational risk assessment, monitoring and operational coordination under critical situations. The paper presents the key requirements of such ICT system, its high-level architecture including the description of its main modules, main takeaways and future steps.
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Boris Petrenj, & Paolo Trucco. (2021). Blockchain-based Solutions to support inter-organisational Critical Infrastructure Resilience. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 982–993). Blacksburg, VA (USA): Virginia Tech.
Abstract: This conceptual paper critically discusses opportunities for and challenges to the development and exploitation of blockchain-based solutions for resilience management at inter-organizational level of interdependent Critical Infrastructure (CI) systems. The main premise behind this idea is that trustful information-sharing and inter-institutional collaboration are the key elements of government and private sector efforts to build CI resilience (CIR). The discussion presents a vision that the adoption and adaptation of Blockchain Technology (BCT) could significantly improve the way a network of stakeholders prepares for and performs in face of inevitable CI disruptions. Even though BCT is regarded as technological innovation, the impacts go far beyond information systems. BCT application in this domain would entail significant benefits to organizational, managerial, legal and social issues, but would require adequate operational and organizational changes. We discuss how interdisciplinary approach (BCT and CIR) could address existing challenges, how it could introduce new challenges and how it could support other approaches and paradigms currently being regarded as the future of risk and resilience management. Even though the discussion in this paper is focused on Critical Infrastructure resilience, each point also applies to Crisis/Disaster management domain in general. This is a preliminary overview with the aim to stimulate further discussions and point to possible new, disruptive and interdisciplinary research avenues. To this end, a possible research agenda is eventually proposed.
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Christopher W. Zobel, Milad Baghersad, & Yang Zhang. (2017). Calling 311: evaluating the performance of municipal services after disasters. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 164–172). Albi, France: Iscram.
Abstract: As part of a movement towards enabling smart cities, a growing number of urban areas in the USA, such as New York City, Boston, and Houston, have established 311 call centers to receive service requests from their citizens through a variety of platforms. In this paper, for the first time, we propose to leverage the large amount of data provided by these non-emergency service centers to help characterize their operational performance in the context of a natural disaster event. We subsequently develop a metric based on the number of open service requests, which can serve as the basis for comparing the relative performance of different departments across different disasters and in different geographic locations within a given urban area. We then test the applicability and usefulness of the approach using service request data collected from New York City's 311 service center.
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Debora Robles Perez, Manuel Esteve Domingo, Israel Perez Llopis, & Federico J. Carvajal Rodrigo. (2020). System and Architecture of an Adapted Situation Awareness Tool for First Responders. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 928–936). Blacksburg, VA (USA): Virginia Tech.
Abstract: First responders (FRs) in Europe are currently facing large natural and man-made disasters (e.g. wild fire, terrorist attacks, industrial incidents, big floods, gas leaks etc.), that put their own lives and those of thousands of others at risk. Adapted situation awareneSS tools and taIlored training curricula for increaSing capabiliTies and enhANcing the proteCtion of first respondErs (ASSISTANCE) is an ongoing European H2020 project which main objective is to increase FRs Situation Awareness (SA) for helping and protecting different kinds of FRs' organizations that work together in large scale disasters mitigation. ASSISTANCE will enhance the SA of the FRs organisations during their mitigation activities through the integration of new paradigms, tools and technologies (e.g. drones/robots equipped with a range of sensors, robust communications capabilities, etc.) with the main objective of increasing both their protection and their efficiency.
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Elisa Canzani. (2016). Modeling Dynamics of Disruptive Events for Impact Analysis in Networked Critical Infrastructures. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Governments have strongly recognized that the proper functioning of critical infrastructures (CIs) highly determines the societal welfare. If a failed infrastructure is unable to deliver services and products to the others, disruptive effects can cascade into the larger system of CIs. In turn, decision-makers need to understand causal interdependencies and nonlinear feedback behaviors underlying the entire CIs network toward more effective crisis response plans. This paper proposes a novel block building modeling approach based on System Dynamics (SD) to capture complex dynamics of CIs disruptions. We develop a SD model and apply it to hypothetical scenarios for simulation-based impact analysis of single and multiple disruptive events. With a special focus on temporal aspects of system resilience, we also demonstrate how the model can be used for dynamic resilience assessment. The model supports crisis managers in understanding scenarios of disruptions and forecasting their impacts to improve strategic planning in Critical Infrastructure Protection (CIP).
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Franclin Foping, & Ioannis M. Dokas. (2013). A saas-based early warning information fusion system for critical infrastructure safety. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 156–165). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Maintaining the critical infrastructures, such as Drinking Water Treatment Plants (DWTP), transportation, power generation and communications systems, in a safe state is a complex problem. The effective collaboration, as well as the collection aggregation and dissemination of early warning information among the stakeholders of the Safety Management System (SMS) responsible for the safety of these critical infrastructures are some of the challenges that need to be addressed. This paper argues that the Software as a Service (SaaS) deployment model can offer new ways of enhancing the fusion of early warning information during the operation phase of critical infrastructures. It presents the requirements, the architecture and a number of features of a working prototype SaaS-based early warning information fusion system for DWTP safety issues in the Republic of Ireland. It is the first time that a SaaSbased working prototype system is reported of providing early warning information fusion services in the literature.
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Frank Schätter, Sascha Meng, Marcus Wiens, & Frank Schultmann. (2014). A multi-stage scenario construction approach for critical infrastructure protection. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 399–408). University Park, PA: The Pennsylvania State University.
Abstract: Protecting critical infrastructures (CIs) against external and internal risks in an increasingly uncertain environment is a major challenge. In this paper we present a generic multi-stage scenario construction approach that is applicable to a wide range of decision problems in the field of CI protection. Our approach combines scenario construction and decision support, whereby we explicitly consider the performance of decision options which have been determined for a set of initial scenarios. Because of the iterative character of our approach, consequences of decision options and information updates are evolutionary processed towards advanced scenarios. By disturbing vulnerable or critical parts of CIs, cascading effects between interrelated CIs and the responses to the decision options can be determined. We apply this scenario-construction technique to two civil security research projects. One focuses on protecting food supply chains against disruptions, whereas the other aims at securing public railway transport against terrorist attacks.
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Joaquín López-Silva, Victor A. Bañuls, & Murray Turoff. (2015). Scenario Based Approach for Risks Analysis in Critical Infrastructures. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper proposes a Cross Impact Analysis for supporting critical infrastructures risk analysis. This methodology contributes to decision-makers and planners with analytical tools for modeling complex situations. These features are generally useful in emergency management and particularly within the critical infrastructures scope, where complex scenarios for risk analysis and emergency plans design have to be analyzed. This paper will show by an example how CIA methodology can be applied for risks and identification analysis with an application to a Data Centre of a Critical Infrastructure.
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Joeri van Laere, Peter Berggren, Per Gustavsson, Osama Ibrahim, Björn Johansson, Aron Larsson, et al. (2017). Challenges for critical infrastructure resilience: cascading effects of payment system disruptions. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 281–292). Albi, France: Iscram.
Abstract: Critical infrastructures become more and more entangled and rely extensively on information technology. A deeper insight into the relationships between critical infrastructures enables the actors involved to more quickly understand the severity of information technology disruptions and to identify robust cross-functional mitigating actions. This study illustrates how and why disruptions in the payment system in Sweden could create cascading effects in other critical infrastructures with potentially severe consequences for many citizens, government institutions and companies. Data from document studies, interviews and workshops with field experts reveal seven challenges for collective cross-functional critical infrastructure resilience that need to be dealt with: 1) Shortage of food, fuel, cash, medicine; 2) Limited capacity of alternative payment solutions; 3) Cities are more vulnerable than the countryside; 4) Economically vulnerable groups in society are more severely affected; 5) Trust maintenance needs; 6) Crisis communication needs; 7) Fragmentation of responsibility for critical infrastructures across many actors.
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Juan Francisco Carías, Leire Labaka, Jose Maria Sarriegi, Andrea Tapia, & Josune Hernantes. (2019). The Dynamics of Cyber Resilience Management. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: With the latent problem of security breaches, denial of service attacks, other types of cybercrime, and cyber incidents in general, the correct management of cyber resilience in critical infrastructures has become a high priority. However, the very nature of cyber resilience, requires managing variables whose effects are hard to predict, and that could potentially be expensive. This makes the management of cyber resilience in critical infrastructures a substantially hard task.
To address the unpredictability of the variables involved in managing cyber resilience, we have developed a system dynamics model that represents the theoretical behaviors of variables involved in the management of cyber resilience. With this model, we have simulated different scenarios that show how the dynamics of different variables act, and to show how the system would react to different inputs.
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Kim Hagen, Meropi Tzanetakis, & Hayley Watson. (2015). Cascading effects in crises: categorisation and analysis of triggers. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The analysis of cascading effects in crisis situations can enhance crisis managers? understanding of how crises unfold and what prominent triggers of cascading effects are. By identifying and categorising triggers of cascading effects, a greater understanding of critical points in crisis situations can be reached, which can contribute to strengthening practices of crisis management, including preparedness and response. Accordingly, this paper provides an insight into triggers of cascading effects, gained through the analysis of six case studies of crises that took place between 1999 and 2014. The analysis produced six categories of triggers, which are discussed here: the disruption of pre-existing relations of information, organisation, and supply, disturbance relations, pre-disaster conditions, and the malfunctioning of legal and regulatory relations. Authors argue that the categorisation of triggers aids anticipating cascading effects, along with predicting risks and planning for potential bottlenecks in crisis management.
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Laura Petersen, Eva Horvath, & Johan Sjöström. (2019). Evaluating Critical Infrastructure Resilience via Tolerance Triangles: Hungarian Highway pilot case study. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: While accepted as part of critical infrastructure (CI) resilience, no consensus exists on how to measure the exact
minimum level of service or the rapidity of rapidly restoring services. The H2020 European project IMPROVER
(Improved risk evaluation and implementation of resilience concepts to critical infrastructure) suggests to use the
public?s declared tolerance levels for both minimum level of service and rapidity of service restoration as criteria
with which to evaluate if the resilience of a given CI is resilient enough. This paper demonstrates the development
of a questionnaire-based methodology to determine public tolerance levels. It then tests this methodology via a
pilot case study at IMPROVER?s Hungarian Highway Living Lab. The paper argues that public tolerance levels
are a reasonable choice for resilience evaluation criteria and demonstrates that the questionnaire-based
methodology permits one to evaluate public perception in such a way as to compare it to technical resilience
analyses.
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Laura Petersen, Laure Fallou, Paul Reilly, & Elisa Serafinelli. (2017). Public expectations of social media use by critical infrastructure operators in crisis communication. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 522–531). Albi, France: Iscram.
Abstract: Previous research into the role of social media in crisis communication has tended to focus on how sites such as Twitter are used by emergency managers rather than other key stakeholders, such as critical infrastructure (CI) operators. This paper adds to this emergent field by empirically investigating public expectations of informatio provided by CI operators during crisis situations. It does so by drawing on key themes that emerged from a review of the literature on public expectations of disaster related information shared via social media, and presenting the results of an online questionnaire-based study of disaster-vulnerable communities in France, Norway, Portugal and Sweden. Results indicate that members of the public expect CI operators to provide disaster related information via traditional and social media and to respond to their queries on social media. CI operators should avail of the opportunities provided by social media to provide real-time information to disaster affected communities.
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Leire Labaka, Josune Hernantes, Ana Laugé, & Jose Mari Sarriegi. (2011). Three units of analysis for Crisis Management and Critical Infrastructure Protection. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Society's welfare is very dependent on the effective performance of Critical Infrastructure (CI). Nowadays, CI constitutes a network of interconnected and interdependent entities. This means that a serious event in one CI can originate cascading events in the rest, leading to a serious crisis. As a consequence, Crisis Management (CM) and Critical Infrastructure Protection (CIP) should converge and integrate their findings, providing a more unified approach. One relevant issue when developing integrated CM/CIP research is what type of unit of analysis should be used, as it conditions the research objectives and questions. This paper presents an analysis of three different units of analysis used in CM research, focusing on the research objectives and questions used in them. These three different units of analysis have been used in a European CIP research project where three simulation models have been developed based on these three units of analysis.
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Leire Labaka, Josune Hernantes, Tina Comes, & Jose Mari Sarriegi. (2014). Defining policies to improve critical infrastructure resilience. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 429–438). University Park, PA: The Pennsylvania State University.
Abstract: Industrial accidents increasingly threaten society and economy; the increasing exposure and vulnerability of our modern interlaced societies contributes to intensifying their impact. Critical Infrastructures (CIs) have a prominent role, since they are vital for the welfare of the population and essential for the economic growth. As hazards are hard to predict, decision-makers need to implement adequate adaptation and mitigation strategies to improve CI resilience. Although CI resilience has attracted increasing attention, empirical studies are rare. Research on the implementation of policies aiming at identifying a clear sequence of measures to improve CI resilience is lacking. Therefore, we present a framework to identify resilience policies across four dimensions (technical, organizational, economic and social) and to define the temporal order in which the policies should be implemented. This research provides a framework grounded in our empirical work. Future work will aim at developing quantitative approaches to complement our results.
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Liam Wotherspoon, Conrad Zorn, & Alistair Davies. (2018). Infrastructure Failures and Recovery from an Alpine Fault Earthquake Scenario. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 525–533). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: In this paper, utilising the core Project AF8 Alpine Fault earthquake scenario, we detail hazard exposure, impacts, and recovery of interdependent critical infrastructure networks across the energy, transportation, water & waste, and telecommunications sectors across the South Island of New Zealand. Asset failures are simulated across each individual network, based on shaking intensities, exposure to co-seismic hazards and estimated component fragilities, which have been further refined and validated through expert elicitation. Network disruptions are then propagated across an interdependent network framework to quantify and delineate the spatial reach of both direct and indirect failures. By incorporating recovery strategies, temporal changes in service levels are quantified to offer insights into expected interdependent network performance and the possible disconnection of communities from the nationally connected networks, otherwise not apparent when studying each infrastructure in isolation.
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Madhavi M. Chakrabarty, & David Mendonça. (2005). Design considerations for information systems to support critical infrastructure management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 13–18). Brussels: Royal Flemish Academy of Belgium.
Abstract: This paper develops a set of design considerations for information systems to support the management of interdependent critical infrastructure systems. Constraints on how these systems are managed are oriented along technical, political and organizational dimensions, though objectives along these dimensions may conflict and thus be difficult to satisfy. This paper harnesses methodologies from software engineering and cognitive science in order to specify opportunities for using information systems to support human-centered management of critical infrastructure systems. The particular focus of this work is on developing information systems to support visualization and visual problem solving. Progress to date is discussed in terms of an ongoing research project which uses as a test-bed data associated with lower Manhattan (New York, USA).
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