Abstract

Artificial immune is proven to be an effective method for adaptive intrusion detection. By using rough set (RS) and fuzzy set (FS), a dynamic artificial immune-based intrusion detection method using rough and fuzzy set is designed (DAIIDRF). A scheme based on rough set for antibodies is proposed. Using antibodies obtainment method, excellent antibodies are promised, at the same time, the detection speed is improved, the convergence rate is higher. At last, the simulation experiments with KDD99 and the comparisons of two algorithms are given. The experimental results show its feasibility and effectiveness of the proposed method.

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