Abstract
Inspired by the immune theory and multi-agent systems, an immune multi-agent system for network intrusion detection is established. The concept of immune agent is introduced. And its logical structure and running mechanism are established. This model implements the multi-layer and distributed mechanism for network intrusion detection. The experimental results show that the new model not only reduces the False-Negative rate and False-Positive rate effectively but also has the feature to adapt to continuous changing network environments.
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Wang, D.G., Li, T., Liu, S.J., Liang, G., Zhao, K. (2008). An Immune Multi-agent System for Network Intrusion Detection. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_48
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DOI: https://doi.org/10.1007/978-3-540-92137-0_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92136-3
Online ISBN: 978-3-540-92137-0
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