An automatic learning method of intrusive rules based on evolutional selection was proposed.

提出了一种基于进化选择的入侵规则自动学习算法。

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The experiments show that the improved learning algorithm of association rules in network security audits have better performance of automatic adaptive capacity, achieving the expected effect.

实验结果表明，改进的关联规则学习算法在网络安全审计的自适应能力上有较好表现，取得了预期效果。

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