Abstract
This paper proposes a novel immune mobile agent based grid intrusion detection (IMGID) model, and gives the concepts and formal definitions of self, nonself, antibody, antigen, agent and match algorithm in the grid security domain. Then, the mathematical models of mature MoA (monitoring agent) anddynamic memory MoAsurvival are improved. Besides, effects of the important parameter P in the models of dynamic memory MoA survival on system performance are showed. Our theoretical analyses and the experiment results show the model that enhances detection efficiency and assures steady performance is a good solution to grid intrusion detection.
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Gong, X., Li, T., Wang, T., Yang, J., Liu, S., Liang, G. (2006). An Immune Mobile Agent Based Grid Intrusion Detection Model. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_15
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DOI: https://doi.org/10.1007/11903697_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47331-2
Online ISBN: 978-3-540-47332-9
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