Danger Theory and Multi-agents Applied for Addressing the Deny of Service Detection Problem in IEEE 802.11 Networks

Abstract

Deny of service (DoS) detection problem is a common and annoying network difficulty, but for IEEE 802.11 standards it becomes even more troublesome. Addressing this issue, we introduce a new approach to promptly warn the user. The detection algorithm put forward, combines second generation of Artificial Immune Systems, Danger Theory and Multi-Agent System. For the detection system, we used the dendritic cells algorithm, modified to IEEE 802.11 environments. Experimental results carried out in controlled setups have shown that the model can easily and effectively be applied for detecting DoS in IEEE 802.11 networks.

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