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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Grey Synthetic Clustering Method for DoS Attack Effectiveness Evaluation
verfasst von : Zimei Peng, Wentao Zhao, Jun Long
Erschienen in: Modeling Decision for Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Effectiveness evaluation of DoS attack is a complex problem, in which the information is incomplete and vague. The grey theory, which deals with the "less data uncertainty" matter, is a powerful tool to solve the problem. We propose a grey synthetic clustering method for DoS attack effectiveness evaluation in this paper. Firstly, we calculate grey clustering coefficient with general grey clustering method. Secondly, if there is no significant difference about grey clustering coefficient, we calculate the synthetic clustering coefficient. Finally, clustering objects can be clustered accurately with the synthetic clustering coefficient. The experimental results show that the approach is feasible and correct.