本文設(shè)計并實現(xiàn)了基于粗糙集多傳感器和免疫的入侵檢測系統(tǒng)新模型，分析了基于粗
糙集理論的規(guī)則生成算法，利用多傳感器提高了入侵檢測系統(tǒng)的魯棒性。給出了基于人工免疫技術(shù)的算法描述。通過實驗證明這個新模型能夠較大的降低漏報率和誤報率，同時具備很好的對已知和未知攻擊模式的防御能力。
關(guān)鍵字：粗糙集理論；多傳感器；人工免疫；入侵檢測系統(tǒng)；網(wǎng)絡(luò)安全
Abstract: This paper designs and develops a new model of Intrusion Detection System
Based on Rough Set Multi-Sensor and Artificial Immune, analyzes rules genetic algorithm
based on rough sets theory ,improves the robustness of IDS by Multi-Sensor, the
description of algorithm based on artificial immune is given， The experiment result
shows that model can reduce the rate of missing report and misinformation greatly ,at
the same time ,it has good detection rate for old and new at tacks.
Keywords: Rough Set；Multi-Sensor；Artificial Immune；IDS；Network Security