IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v19y2016i7p894-912.html
   My bibliography  Save this article

Modeling current and emerging threats in the airport domain through adversarial risk analysis

Author

Listed:
  • Javier Cano
  • Alessandro Pollini
  • Lorenzo Falciani
  • Uğur Turhan

Abstract

Airports are critical infrastructures entailing intense human, commercial and economic activity. As such, they are preferred targets for criminal and terrorist groups, who are attracted by the promisingly high revenues they might get from an attack. Every year, airport authorities worldwide have to face, with limited resources, attacks arising from different adversaries. There are several sensible areas within an airport organization that are especially vulnerable to the terrorist threat, including, among others: (1) those related to human lives (of passengers or staff); (2) airport infrastructure (airport perimeter, main terminal, Air Traffic Control Tower, runways, hangars, etc.); (3) aircrafts and other ground vehicles; and (4) IT systems and services. Besides the more traditional ones, we are particularly concerned with attacks launched against the last type of targets, an emerging and increasingly worrisome threat. Specifically, we analyze the impact of cyber-attacks launched by organized groups whose main goal is to take hold of airport operations. In some cases, in order to have more chances to achieve their purpose (and take advantage of its eventual success), cyber attackers may be backed up by a terrorist group who will try to interfere with the Air Traffic Management network. In this paper, we aim at supporting airport authorities in their fight against both threats, by devising a security allocation plan. We provide an adversarial risk analysis model to address the problem, and apply it to obtain the optimal portfolio of preventive measures in an illustrative case study. The model is open to extensions, as e.g. larger and more complex technical infrastructures, new threats, or additional recovery measures deployed by different defensive agents.

Suggested Citation

  • Javier Cano & Alessandro Pollini & Lorenzo Falciani & Uğur Turhan, 2016. "Modeling current and emerging threats in the airport domain through adversarial risk analysis," Journal of Risk Research, Taylor & Francis Journals, vol. 19(7), pages 894-912, August.
  • Handle: RePEc:taf:jriskr:v:19:y:2016:i:7:p:894-912
    DOI: 10.1080/13669877.2015.1057201
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2015.1057201
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2015.1057201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anders A F Wahlberg & Lennart Sjoberg, 2000. "Risk perception and the media," Journal of Risk Research, Taylor & Francis Journals, vol. 3(1), pages 31-50, January.
    2. Olja Čokorilo & Mario De Luca & Gianluca Dell’Acqua, 2014. "Aircraft safety analysis using clustering algorithms," Journal of Risk Research, Taylor & Francis Journals, vol. 17(10), pages 1325-1340, November.
    3. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
    4. Insua, Insua Rios & Rios, Jesus & Banks, David, 2009. "Adversarial Risk Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 841-854.
    5. Stern, Jessica & Wiener, Jonathan B., 2006. "Precaution against Terrorism," Working Paper Series rwp06-019, Harvard University, John F. Kennedy School of Government.
    6. Terje Aven & Ortwin Renn, 2009. "On risk defined as an event where the outcome is uncertain," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 1-11, January.
    7. Urs Steiner Brandt, 2014. "The implication of extreme events on policy responses," Journal of Risk Research, Taylor & Francis Journals, vol. 17(2), pages 221-240, February.
    8. Jessica Stern & Jonathan B. Wiener, 2006. "Precaution Against Terrorism," Journal of Risk Research, Taylor & Francis Journals, vol. 9(4), pages 393-447, June.
    9. Pacheco, Ricardo Rodrigues & Fernandes, Elton & Domingos, Eduardo Marques, 2014. "Airport airside safety index," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 86-92.
    10. Susanne Rippl, 2002. "Cultural theory and risk perception: a proposal for a better measurement," Journal of Risk Research, Taylor & Francis Journals, vol. 5(2), pages 147-165, April.
    11. Barry C. Ezell & R. Michael Robinson & Peter Foytik & Craig Jordan & David Flanagan, 2013. "Cyber risk to transportation, industrial control systems, and traffic signal controllers," Environment Systems and Decisions, Springer, vol. 33(4), pages 508-516, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei Wang & Francesco Di Maio & Enrico Zio, 2019. "Adversarial Risk Analysis to Allocate Optimal Defense Resources for Protecting Cyber–Physical Systems from Cyber Attacks," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2766-2785, December.
    2. Eric DuBois & Ashley Peper & Laura A. Albert, 2023. "Interdicting Attack Plans with Boundedly Rational Players and Multiple Attackers: An Adversarial Risk Analysis Approach," Decision Analysis, INFORMS, vol. 20(3), pages 202-219, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jamie K. Wardman & Gabe Mythen, 2016. "Risk communication: against the Gods or against all odds? Problems and prospects of accounting for Black Swans," Journal of Risk Research, Taylor & Francis Journals, vol. 19(10), pages 1220-1230, November.
    2. John D. Graham & Jonathan B. Wiener, 2008. "The precautionary principle and risk--risk tradeoffs: a comment," Journal of Risk Research, Taylor & Francis Journals, vol. 11(4), pages 465-474, June.
    3. Domenico Tosini, 2021. "Social immunology: A theory of the immune processes of social systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(1), pages 50-60, January.
    4. Steve Jacob & Nathalie Schiffino, 2015. "Risk Policies in the United States: Definition and Characteristics Based on a Scoping Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 849-858, May.
    5. Carl F. Cranor & Adam M. Finkel, 2018. "Toward the usable recognition of individual benefits and costs in regulatory analysis and governance," Regulation & Governance, John Wiley & Sons, vol. 12(1), pages 131-149, March.
    6. Gao, Kaiye & Yan, Xiangbin & Liu, Xiang-dong & Peng, Rui, 2019. "Object defence of a single object with preventive strike of random effect," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 209-219.
    7. Jaap C. Hanekamp & Aalt Bast, 2008. "Why RDAs and ULs Are Incompatible Standards in the U‐Shape Micronutrient Model: A Philosophically Orientated Analysis of Micronutrients' Standardizations," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1639-1652, December.
    8. Kjell Hausken, 2019. "Principal–Agent Theory, Game Theory, and the Precautionary Principle," Decision Analysis, INFORMS, vol. 16(2), pages 105-127, June.
    9. Charles Vlek, 2013. "How Solid Is the Dutch (and the British) National Risk Assessment? Overview and Decision‐Theoretic Evaluation," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 948-971, June.
    10. Randall, Alan, 2009. "We Already Have Risk Management - Do We Really Need the Precautionary Principle?," International Review of Environmental and Resource Economics, now publishers, vol. 3(1), pages 39-74, August.
    11. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    12. Boon, L.N. & Brière, M. & Rigot, S., 2018. "Regulation and pension fund risk-taking," Journal of International Money and Finance, Elsevier, vol. 84(C), pages 23-41.
    13. Bertrand, Philippe & Prigent, Jean-luc, 2016. "Equilibrium of financial derivative markets under portfolio insurance constraints," Economic Modelling, Elsevier, vol. 52(PA), pages 278-291.
    14. Sun-Ki Chai & Dolgorsuren Dorj & Katerina Sherstyuk, 2018. "Cultural Values and Behavior in Dictator, Ultimatum, and Trust Games: An Experimental Study," Research in Experimental Economics, in: Experimental Economics and Culture, volume 20, pages 89-166, Emerald Group Publishing Limited.
    15. José Santiago Fajardo Barbachan & Aquiles Rocha de Farias & José Renato Haas Ornelas, 2008. "A Goodness-of-Fit Test with Focus on Conditional Value at Risk," Brazilian Review of Finance, Brazilian Society of Finance, vol. 6(2), pages 139-155.
    16. Marcos Escobar-Anel & Michel Kschonnek & Rudi Zagst, 2022. "Portfolio optimization: not necessarily concave utility and constraints on wealth and allocation," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(1), pages 101-140, February.
    17. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.
    18. Dingshi Tian & Zongwu Cai & Ying Fang, 2018. "Econometric Modeling of Risk Measures: A Selective Review of the Recent Literature," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201807, University of Kansas, Department of Economics, revised Oct 2018.
    19. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2014. "Bank regulation and international financial stability: A case against the 2006 Basel framework for controlling tail risk in trading books," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 107-130.
    20. Aven, Terje, 2010. "Some reflections on uncertainty analysis and management," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 195-201.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:19:y:2016:i:7:p:894-912. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.