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JACIII Vol.18 No.1 pp. 93-99
doi: 10.20965/jaciii.2014.p0093
(2014)

Paper:

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A Threat Assessment Method Based on Hierarchies and Modules

Fang Deng, Xinan Liu, Zhihong Peng,
and Jie Chen

School of Automation, Beijing Institute of Technology, Beijing, 100081, China

Received:
May 22, 2013
Accepted:
December 10, 2013
Published:
January 20, 2014
Creative Commons License
Keywords:
threat assessment, membership cloud, particle swarm, dynamic bayesian network
Abstract
With the development of low-level data fusion technology, threat assessment, which is a part of high-level data fusion, is recognized by an increasing numbers of people. However, the method to solve the problem of threat assessment for various kinds of targets and attacks is unknown. Hence, a threat assessment method is proposed in this paper to solve this problem. This method includes tertiary assessments: information classification, reorganization, and summary. In the tertiary assessments model, various threats with multi-class targets and attacks can be comprehensively assessed. A case study with specific algorithms and scenarios is shown to prove the validity and rationality of this method.
Cite this article as:
F. Deng, X. Liu, Z. Peng, and J. Chen, “A Threat Assessment Method Based on Hierarchies and Modules,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.1, pp. 93-99, 2014.
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