Agent-Based Modelling for Security Risk Assessment

Janssen, S.A.M.; Sharpanskykh, Alexei

doi:10.1007/978-3-319-59930-4_11

Agent-Based Modelling for Security Risk Assessment

Title

Agent-Based Modelling for Security Risk Assessment

Author

Janssen, S.A.M. (TU Delft Air Transport & Operations)
Sharpanskykh, Alexei (TU Delft Air Transport & Operations)

Contributor

Bajo, J. (editor)
Vale, Z. (editor)
Hallenborg, K. (editor)
Rocha, A.P. (editor)
Mathieu, P. (editor)
Pawlewski, P. (editor)
Del Val, E. (editor)
Novais, P. (editor)
Lopes, F. (editor)
Duque Méndez, N.D. (editor)
Julián, V. (editor)
Holmgren, J. (editor)

Date

2017

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.

Subject

Demand response
Distributed generation
Green ports
Multi-agent systems
Reefers

To reference this document use:

http://resolver.tudelft.nl/uuid:738728df-be2e-4186-80b7-fa30cebc0a5e

DOI

https://doi.org/10.1007/978-3-319-59930-4_11

Publisher

Springer, Cham

ISBN

978-3-319-60284-4

Source

Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems: International Workshops of PAAMS 2017, Proceedings