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Toward intelligent decision support for security staff: Evaluation of an interactive resource management system based on a CMDP model

: Hild, J.; Peinsipp-Byma, E.; Ott, J.

Postprint urn:nbn:de:0011-n-1803943 (975 KByte PDF)
MD5 Fingerprint: 68566a70369a07fa39228960e3d179a1
Copyright 2011 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 27.9.2011

Carapezza, E.M. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Sensors, and command, control, communications, and intelligence (C3I) technologies for homeland security and homeland defense X : 25 - 28 April 2011, Orlando, Florida, United States; Part of SPIE defense, security + sensing
Bellingham, WA: SPIE, 2011 (Proceedings of SPIE 8019)
ISBN: 978-0-8194-8593-9
Paper 80190A
Conference "Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense" <10, 2011, Orlando/Fla.>
Defense, Security and Sensing Symposium <2011, Orlando/Fla.>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
resource management system; security management; surveillance task; decision support; mathematical model; continuous-time Markov decision process (CMDP); visualization; evaluation

The officer-in-charge deploying the security personnel to protect a large infrastructure meets a complex decision problem if multiple threats have to be handled simultaneously: Limited surveillance resources have to be optimally allocated to the many affected sectors in order to provide the safest threat state for the infrastructure as a whole over time. This contribution presents an interactive resource management system providing decision support for optimally deploying surveillance resources. For this purpose, the user interface displays a risk map of the infrastructure's current threat situation together with a recommendation of the currently optimal resource allocation. Thereby, the resource allocation recommendation is obtained by solving a CMDP model of an infrastructure's global threat situation. An evaluation of the CMDP-based decision support shows that displaying both resource allocation recommendation and risk map enables the participants to handle threat scenarios more cost-saving, and additionally causes less workload and higher acceptance among the participants.