Abstract
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.
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Peng, Z., Zhao, W., Long, J. (2011). Grey Synthetic Clustering Method for DoS Attack Effectiveness Evaluation. In: Torra, V., Narakawa, Y., Yin, J., Long, J. (eds) Modeling Decision for Artificial Intelligence. MDAI 2011. Lecture Notes in Computer Science(), vol 6820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22589-5_14
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DOI: https://doi.org/10.1007/978-3-642-22589-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22588-8
Online ISBN: 978-3-642-22589-5
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