Agent-Based Modelling for Security Risk Assessment

Stef Janssen; Alexei Sharpanskykh

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

Agent-Based Modelling for Security Risk Assessment

Air Transport & Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

168 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 language	English
Title of host publication	Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems
Subtitle of host publication	International Workshops of PAAMS 2017, Proceedings
Editors	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
Place of Publication	Cham
Publisher	Springer
Pages	132-143
ISBN (Electronic)	978-3-319-60285-1
ISBN (Print)	978-3-319-60284-4
DOIs	https://doi.org/10.1007/978-3-319-59930-4_11
Publication status	Published - 2017
Event	PAAMS 2017: 15th International Conference on Practical Applications of Agents and Multi-Agent Systems - Porto, Portugal Duration: 21 Jun 2017 → 23 Jun 2017 Conference number: 15

Publication series

Name	Communications in Computer and Information Science
Volume	722
ISSN (Print)	1865-0929

Conference

Conference	PAAMS 2017
Country/Territory	Portugal
City	Porto
Period	21/06/17 → 23/06/17

Keywords

Demand response
Distributed generation
Green ports
Multi-agent systems
Reefers

Access to Document

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

PAAMSAccepted author manuscript, 1.2 MB

Cite this

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

Janssen, Stef ; Sharpanskykh, Alexei. / Agent-Based Modelling for Security Risk Assessment. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems: International Workshops of PAAMS 2017, Proceedings. editor / 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. Cham : Springer, 2017. pp. 132-143 (Communications in Computer and Information Science).

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title = "Agent-Based Modelling for Security Risk Assessment",

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.",

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editor = "J. Bajo and Z. Vale and K. Hallenborg and A.P. Rocha and P. Mathieu and P. Pawlewski and {Del Val}, E. and P. Novais and F. Lopes and {Duque M{\'e}ndez}, N.D. and V. Juli{\'a}n and J. Holmgren",

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Janssen, S & Sharpanskykh, A 2017, Agent-Based Modelling for Security Risk Assessment. in J Bajo, Z Vale, K Hallenborg, AP Rocha, P Mathieu, P Pawlewski, E Del Val, P Novais, F Lopes, ND Duque Méndez, V Julián & J Holmgren (eds), Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems: International Workshops of PAAMS 2017, Proceedings. Communications in Computer and Information Science, vol. 722, Springer, Cham, pp. 132-143, PAAMS 2017, Porto, Portugal, 21/06/17. https://doi.org/10.1007/978-3-319-59930-4_11

Agent-Based Modelling for Security Risk Assessment. / Janssen, Stef; Sharpanskykh, Alexei.
Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems: International Workshops of PAAMS 2017, Proceedings. ed. / 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. Cham: Springer, 2017. p. 132-143 (Communications in Computer and Information Science; Vol. 722).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Agent-Based Modelling for Security Risk Assessment

AU - Janssen, Stef

AU - Sharpanskykh, Alexei

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N2 - 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.

AB - 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.

KW - Demand response

KW - Distributed generation

KW - Green ports

KW - Multi-agent systems

KW - Reefers

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SN - 978-3-319-60284-4

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SP - 132

EP - 143

BT - Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems

A2 - Bajo, J.

A2 - Vale, Z.

A2 - Hallenborg, K.

A2 - Rocha, A.P.

A2 - Mathieu, P.

A2 - Pawlewski, P.

A2 - Del Val, E.

A2 - Novais, P.

A2 - Lopes, F.

A2 - Duque Méndez, N.D.

A2 - Julián, V.

A2 - Holmgren, J.

PB - Springer

CY - Cham

T2 - PAAMS 2017

Y2 - 21 June 2017 through 23 June 2017

ER -

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

Agent-Based Modelling for Security Risk Assessment

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