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本文设计并实现了基于粗糙集多传感器和免疫的入侵检测系统新模型,分析了基于粗糙集理论的规则生成算法,利用多传感器提高了入侵检测系统的鲁棒性。给出了基于人工免疫技术的算法描述。通过实验证明这个新模型能够较大的降低漏报率和误报率,同时具备很好的对已知和未知攻击模式的防御能力。
In this paper, a new model of intrusion detection system based on rough set multisensor and immune is designed and implemented. The rule generation algorithm based on rough set theory is analyzed, and the robustness of intrusion detection system is improved by using multi-sensor. The algorithm description based on artificial immune technique is given. Experiments show that this new model can greatly reduce the false negative rate and the false alarm rate, and has good defensive capabilities for known and unknown attack patterns.