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An Evaluation Method for Information Security Level Based on OWA Operator and Bayesian Network
Abstract:
Analysis of information security threats in the system elements and assessment process, the decision-maker's subjective judgment threat level information and to obtain an objective evaluation by testing different forms of information and data, it is difficult for a direct threat assessment, proposed based on Bayesian network and OWA operator information security threat assessment model. First, combined with expert knowledge Bayesian network inference rules introduced conditional probability matrix, in order to build an information security threat assessment model. Secondly, based on OWA operator build the expert group decision making information system threat level of the target's subjective judgment information, and as a Bayesian network model of the target information system threat level of a priori information, and objective evaluation of information as a shell Julius observation node network model, which integrates the subjective and objective information security threat level. Finally, a simulation example shows that the model is reasonable and effective.
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72-75
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Online since:
September 2013
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© 2013 Trans Tech Publications Ltd. All Rights Reserved
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