An Adaptive Anomaly Detection Model Design based on Artificial Immune System in Central Network 


Vol. 34,  No. 3, pp. 311-317, Mar.  2009


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  Abstract

The traditional network anomaly detection systems execute the threshold-based detection without considering d ynamic network environments, which causes false positive and limits an effective resource utilization. To overco me the drawbacks, we present the adaptive network anomaly detection model based on artificial immune system (AIS) in centralized network. AIS is inspired from human immune system that has learning, adaptation and mem ory. In our proposed model, the interaction between dendritic cell and T-cell of human immune system is adopte d. We design the main components, such as central node and router node, and define functions of them. The ce ntral node analyzes the anomaly information received from the related router nodes, decides response policy and sends the policy to corresponding nodes. The router node consists of detector module and responder module. The detector module perceives the anomaly depending on learning data and the responder module settles the anomaly according to the policy received from central node. Finally we evaluate the possibility of the proposed detection model through simulation.

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  Cite this article

[IEEE Style]

K. Yoo, W. Yang, S. Lee, H. Jeong, W. So, Y. Kim, "An Adaptive Anomaly Detection Model Design based on Artificial Immune System in Central Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 311-317, 2009. DOI: .

[ACM Style]

Kyoung-Min Yoo, Won-Hyuk Yang, Sang-Yeol Lee, Hye-Ryun Jeong, Won-ho So, and Young-Chon Kim. 2009. An Adaptive Anomaly Detection Model Design based on Artificial Immune System in Central Network. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 311-317. DOI: .

[KICS Style]

Kyoung-Min Yoo, Won-Hyuk Yang, Sang-Yeol Lee, Hye-Ryun Jeong, Won-ho So, Young-Chon Kim, "An Adaptive Anomaly Detection Model Design based on Artificial Immune System in Central Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 311-317, 3. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880