Abstract
This paper puts forward the concept of risk conductivity and uses this as edge-weight to construct a weighted complex network. In addition, the concepts of node strength coefficient, weighted clustering coefficient and the computing method are offered to construct the fuzzy C-means clustering model based on weighted complex network characteristics. Finally, this paper analyzes the assessment result of the model.
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References
Lheaqwara, C.: More effective risk assessment. Computer Security Journal 19(2), 8–20 (2003)
Venter, H.S.: Vulnerability forecasting—A conceptual model. Computers and Security 23(6), 489–497 (2004)
Pastor-Satorras, R., Vespignani, A.: Epidemic Spreading in Scale-Free Networks. Physical Review Letter 86(14), 3200–3203 (2001)
Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45(2), 167–256 (2003)
Moreno, Y., Pastor-Satorras, R., Vazquez, A.: Critical load and congestion instabilities in scale-free networks. Euro Physics Letters 62(2), 292–298 (2003)
Qing, S., Wen, W., Jiang, J., Ma, H., Liu, X.: A new approach to forecasting Internet worms based on netlike association analysis. Journal of China Institute of Communications 25(7), 62–70 (2004)
Barabási, A.L., Albert, R., Jeong, H.: Mean-field theory for scale-free random networks. Physical A 272(1/2), 173–187 (1999)
Xu, D., Li, X., Wang, X.: Application of Complex Network Theory to the Study of Virus Spreading on the Internet. Complex Systems and Complexity Science 1(3), 10–26 (2004)
Wu, J., Tan, Y.: Study on measure of complex network invulnerability. Journal of Systems Engineering 20(2), 128–131 (2005)
Li, B.: Weigh on Cluster Fuzzy C-Mean. Fuzzy Systems and Mathematics 21(1), 106–110 (2007)
Wu, X., Zhou, J.: A Novel Possibilistic Fuzzy C-Means Clustering. Acta Electronica Sinica 36(10), 1996–2000 (2008)
Chen, J., Ge, B.: Fuzzy C-Means Clustering and Correlation Analysis of the Yangtze River Delta City Group Evolution. Journal of Chongqing University ( Social Science Edition) 15(2), 1–8 (2009)
Jiang, X.: Semi-supervised and Weighted Fuzzy C-means Clustering Algorithm. Computer Engineering 35(17), 170–174 (2009)
Wang, X., Weng, X.: Classification of Three-phase Traffic Flow of Urban Expressway Based on Fuzzy C-means Clustering. Journal of Transport Information and Safety 27(1), 149–152 (2009)
Chen, X.: Feature-weighted fuzzy C clustering algorithm. Computer Engineering and Design 28(22), 5329–5333 (2007)
Yang, D.: Research of the Network Intrusion Detection Based on Fuzzy Clustering. Computer Science 32(1), 86–91 (2005)
Wu, R., Liang, Y., Yu, F., Xu, C.: Modeling of DDoS Alarm Based on Fuzzy C-Means Algorithm. Journal of Chinese Computer Systems 29(6), 1130–1134 (2008)
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Jian, Z., Qun, Z., Jianping, T. (2011). A Network Security Risk Fuzzy Clustering Assessment Model Based on Weighted Complex Network. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24010-2_20
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DOI: https://doi.org/10.1007/978-3-642-24010-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24009-6
Online ISBN: 978-3-642-24010-2
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