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The game-theoretic national interstate economic model : an integrated framework to quantify the economic impacts of cyber-terrorist behavior.

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English


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  • Abstract:
    This study suggests an integrated framework to quantify cyber attack impacts on the U.S. airport security system. A cyber attack by terrorists on the U.S. involves complex ; strategic behavior by the terrorists because they could plan to invade an airport electronic system without any U.S. border or entry point. At the same time, any defending ; entity must consider the complex processes that may cause turmoil. The possibility of simultaneous threats from cyber attacks causes another difficulty for defending ; entities to secure their airports. This highlights the need for improved, integrated inter-governmental collaboration. Collaborative networking requires close inter-governmental coordination to overcome the risk of cyber-terrorist threats. Constructing a new model for strategic cyber-terror security requires a combination of both ; competitive and cooperative game situations in order to seek specific strategies against cyber-terrorism. Also, the airport shut-down would have ripple impacts throughout ; the domestic and international economies, which raises the necessity to analyze the impacts with a spatially disaggregate economic model. To combine both competitive ; and cooperative game situations with an economic impact model, this study suggest a Game Theoretic National Interstate Economic Model (G-NIEMO) framework. GNIEMO identifies which airport may be most vulnerable in the event that an airport electronic system is subsequently shut-down. Based on the probabilistic costs of airport ; closure, the model provides the economic importance of cyber security by place of event and by type of industry. From G-NIEMO, equilibrium strategies for U.S. airport ; protection can be identified and a general guideline for the evaluation of resource allocations can be passed onto the U.S. government agencies.
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    PDF
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    Filetype[PDF - 2.50 MB]
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  • Main Document Checksum:
    urn:sha256:c8dd435b14c331b9a0622e881b492712ab2e33b32a42de524273486f29b7477c
File Language:
English
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