Agent-Based Modelling for Security Risk Assessment

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6 Citations (Scopus)
71 Downloads (Pure)

Abstract

Security Risk Assessment is commonly performed by using traditional methods based on linear probabilistic tools and informal expert judgements. These methods lack the capability to take the inherent dynamic and intelligent nature of attackers into account. To partially address the limitations, researchers applied game theory to study security risks. However, these methods still rely on traditional methods to determine essential model parameters, such as payoff values. To overcome the limitations of traditional methods, we propose an approach which combines agent-based modelling with Monte Carlo simulations. Agent-based models allow more realistic representation of essential aspects and processes of socio-technical systems at cognitive, social and organisational levels. Such models can be used to estimate risks and parameters related to them. An application of the approach is illustrated by a case study of an airport security checkpoint.
Original languageEnglish
Title of host publicationHighlights of Practical Applications of Cyber-Physical Multi-Agent Systems
Subtitle of host publicationInternational Workshops of PAAMS 2017, Proceedings
EditorsJ. Bajo, Z. Vale, K. Hallenborg, A.P. Rocha, P. Mathieu, P. Pawlewski, E. Del Val, P. Novais, F. Lopes, N.D. Duque Méndez, V. Julián, J. Holmgren
Place of PublicationCham
PublisherSpringer
Pages132-143
ISBN (Electronic)978-3-319-60285-1
ISBN (Print)978-3-319-60284-4
DOIs
Publication statusPublished - 2017
EventPAAMS 2017: 15th International Conference on Practical Applications of Agents and Multi-Agent Systems - Porto, Portugal
Duration: 21 Jun 201723 Jun 2017
Conference number: 15

Publication series

NameCommunications in Computer and Information Science
Volume722
ISSN (Print)1865-0929

Conference

ConferencePAAMS 2017
CountryPortugal
CityPorto
Period21/06/1723/06/17

Keywords

  • Demand response
  • Distributed generation
  • Green ports
  • Multi-agent systems
  • Reefers

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    Janssen, S., & Sharpanskykh, A. (2017). Agent-Based Modelling for Security Risk Assessment. In J. Bajo, Z. Vale, K. Hallenborg, A. P. Rocha, P. Mathieu, P. Pawlewski, E. Del Val, P. Novais, F. Lopes, N. D. Duque Méndez, V. Julián, & J. Holmgren (Eds.), Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems: International Workshops of PAAMS 2017, Proceedings (pp. 132-143). (Communications in Computer and Information Science; Vol. 722). Springer. https://doi.org/10.1007/978-3-319-59930-4_11