Abstract
A new method of intrusion detection based on the danger theory and the cloud model is presented in this paper. The main idea of danger signal generation mechanism of this method is stated as follows. Antigen apoptosis and necrosis will affect antibody concentrations. This paper has defined the concentration variability functions concerned and divided the risk levels. Changes of antibody concentrations in the immune system are determined by the cloud model, and then danger signals will be sent according to the changes. This method has successfully solved the problems of high false positive rate and high false negative rate. The theoretical analysis and experimental results show that the method is effective to intrusion detection with advantages of diversity, real-time and adaptability.
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Ruirui, Z., Tao, L., Xin, X., Yuanquan, S. (2011). The Research of Network Intrusion Detection Based on Danger Theory and Cloud Model. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24091-1_28
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DOI: https://doi.org/10.1007/978-3-642-24091-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24090-4
Online ISBN: 978-3-642-24091-1
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