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An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment

An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment
An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment
We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The new concept incorporates the need of both security management as used by role-based access control (RBAC) and agent functional behaviour in agent-oriented Software Engineering (AOSE). Our approach avoids weaknesses of traditional RBAC approaches and provides a practically usable security model for Multi-agent Systems (MAS). A unified role interaction model framework has been put forward that incorporates not only functional requirements but also security constraints in MAS. A security policy rule scheme has been used to express security requirements in relation to affective roles. The major contribution of the work is that little redevelopment effort will be required when security is to be engineered into the overall MAS architecture, hence minimising the impact of the security requirements changes to the MAS architecture. We illustrate the approach through its potential application in a clinical trial setting involving a prototype medical decision support system, HealthAgents.
Adaptive Security Model
0-7695-2870-8
261-266
Xiao, Liang
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Peet, Andrew
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Lewis, Paul
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Dashmapatra, Srinandan
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Sáez, Carlos
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Croitoru, Madalina
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Vicente, Javier
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Gonzalez-Velez, Horacio
26055533-6f8e-4d8f-bffb-42fd7911c0f4
Lluch i Ariet, Magí
374bda1a-be20-475b-a5ad-37117a80c185
Xiao, Liang
bb4e3fd9-f69e-4bdc-aad8-6eecbe58c8c6
Peet, Andrew
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Lewis, Paul
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Dashmapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Sáez, Carlos
6db76857-6393-4a99-ab69-1a25ccfb22b2
Croitoru, Madalina
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Vicente, Javier
4631def0-8f77-4b19-94fc-8270b50bd142
Gonzalez-Velez, Horacio
26055533-6f8e-4d8f-bffb-42fd7911c0f4
Lluch i Ariet, Magí
374bda1a-be20-475b-a5ad-37117a80c185

Xiao, Liang, Peet, Andrew, Lewis, Paul, Dashmapatra, Srinandan, Sáez, Carlos, Croitoru, Madalina, Vicente, Javier, Gonzalez-Velez, Horacio and Lluch i Ariet, Magí (2007) An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment. The 31st IEEE Annual International Computer Software and Applications Conference (COMPSAC'07), China. 23 - 27 Jul 2007. pp. 261-266 .

Record type: Conference or Workshop Item (Paper)

Abstract

We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The new concept incorporates the need of both security management as used by role-based access control (RBAC) and agent functional behaviour in agent-oriented Software Engineering (AOSE). Our approach avoids weaknesses of traditional RBAC approaches and provides a practically usable security model for Multi-agent Systems (MAS). A unified role interaction model framework has been put forward that incorporates not only functional requirements but also security constraints in MAS. A security policy rule scheme has been used to express security requirements in relation to affective roles. The major contribution of the work is that little redevelopment effort will be required when security is to be engineered into the overall MAS architecture, hence minimising the impact of the security requirements changes to the MAS architecture. We illustrate the approach through its potential application in a clinical trial setting involving a prototype medical decision support system, HealthAgents.

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More information

Published date: 2007
Additional Information: Event Dates: July 23-27 2007
Venue - Dates: The 31st IEEE Annual International Computer Software and Applications Conference (COMPSAC'07), China, 2007-07-23 - 2007-07-27
Keywords: Adaptive Security Model
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 264400
URI: https://eprints.soton.ac.uk/id/eprint/264400
ISBN: 0-7695-2870-8
PURE UUID: d9afd88d-101b-4fb7-8ac4-1126d3540353

Catalogue record

Date deposited: 09 Aug 2007
Last modified: 04 Nov 2019 20:47

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Contributors

Author: Liang Xiao
Author: Andrew Peet
Author: Paul Lewis
Author: Srinandan Dashmapatra
Author: Carlos Sáez
Author: Madalina Croitoru
Author: Javier Vicente
Author: Horacio Gonzalez-Velez
Author: Magí Lluch i Ariet

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