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What is Integrated Grey Clustering Method

Handbook of Research on Interactive Information Quality in Expanding Social Network Communications
Classifies the attack effectiveness into multiple categories that are determined by different evaluation metrics and whitening function of corresponding grey numbers.
Published in Chapter:
An Integrative Method for the Evaluation of Network Attack Effectiveness Based on Grey System Theory
Pengfei Wang (National University of Defense Technology, China), Wentao Zhao (National University of Defense Technology, China), Fan Zhang (National University of Defense Technology, China), and Zimei Peng (National University of Defense Technology, China)
DOI: 10.4018/978-1-4666-7377-9.ch017
Abstract
On the basis of the grey system theory, which is proposed to tackle the problems of uncertainty and missing information, an integrative method for the effectiveness evaluation of network attacks is proposed, which combines the merits of three different kinds of evaluation methods based on Grey-Clustering Analysis (GCA). Particularly, the proposed method provides a solution to the problem of accuracy drop seen in prevailing grey evaluation methods when the clustering coefficients exhibit no significant difference. With low time complexity, the proposed method performs well in the effectiveness evaluation of network attacks. Simulation results on suitable DDoS scenarios demonstrate the feasibility and power of the method.
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