Immune Danger Theory Based Model for SYN Flooding Attack Situation Awareness

Abstract:

This paper explores a novel danger theory based model to aware the situation for TCP SYN flooding attacks. Within in the presented model, the TCP SYN flooding attacks are looked as dangerous exogenous patterns, and induce danger signals to aware the situation of host computers, which is realized by hosted-based artificial immune detectors. After summarizing the danger theory, the model framework, correlative concepts, TCP SYN flooding attack detection, danger signal computation and attack situation awareness methods are described. Following that, the interrelated techniques are compared. Theoretical analysis results show that the proposed model is valid. Thus, it provides a good solution to computer network security.

• Periodical: Advanced Materials Research (Volumes 181-182)
• Pages: 66-71
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.181-182.66
• Online since: January 2011
• Authors: Fei Xian Sun, Zhi Gang Wu
• Keywords: Immune Danger Theory, Network Attack, Situation Awareness, TCP SYN Flooding

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