Abstract
In this article, based on our previous work CB-RNSA, we proposed an improved algorithm ICB-RNSA: using Principal Component Analysis (PCA) method to reduce data dimension in the data pre-treatment process; the distances between antigens are calculated by fractional norm distance to increase the detection discriminations. The experiment result shows that the efficiency and detection ability of ICB-RNSA are superior to CB-RNSA and other traditional negative selection algorithms.
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References
Forrest, S., Perelson, A.S., Allen, L., Cherukuri, R.: Self-nonself discrimination in a computer. In: Proceedings of the IEEE Symposium on Research in Security and Privacy, pp. 202–212. IEEE Press, Washington (1994)
Gonzalez, F., Dasgupta, D.: Anomaly detection using real-valued negative selection. Genetic Programming and Evolvable Machine 4, 383–403 (2003)
Ji, Z., Dasgupta, D.: Real-valued negative selection algorithm with variable-sized detectors. In: Proceedings Genetic and Evolutionary Computation Conference (GECCO), pp. 287–298. IEEE Press, Berlin (2004)
Stibor, T., Mohr, P., Timmis, J.: Is negative selection appropriate for anomaly detection? In: Proceedings Genetic and Evolutionary Computation Conference (GECCO), pp. 321–328. ACM Press, New York (2005)
Li, T.: Computer immunology. Publishing House of Electronics Industry, Beijing (2004)
Chen, W., Li, T.: A negative selection algorithm based on hierarchical clustering of self set. In: Proceedings of CNCE, pp. 50–53. IEEE Press, Qingdao (2010)
Stibor, T., Timmis, J., Eckert, C.: On the use of hyperspheres in artificial immune systems as antibody recognition regions. LNCS, vol. 41, pp. 215–228 (2006)
Stibor, T., Timmis, J., Eckert, C.: A comparative study of real-valued negative selection to statistical anomaly detection techniques. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 262–275. Springer, Heidelberg (2005)
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Chen, W., Li, T., Qin, J., Zhao, H. (2011). A New Cluster Based Real Negative Selection Algorithm. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_18
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DOI: https://doi.org/10.1007/978-3-642-19853-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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