（1.解放軍理工大學通信工程學院研究生1隊，江蘇 南京 210007；2.解放軍理工大學理學院基礎電子學系，江蘇 南京 211101）
摘 要：針對入侵檢測系統具有模糊性以及建模復雜性的特點，提出了一種基于面向對象模糊Petri網的入侵檢測模型與算法，將面向對象技術的模塊化建模方法與模糊Petri網的模糊推理能力相結合，便于知識的分析和推理，降低知識系統的復雜性，同時便于建模和管理。并通過入侵檢測攻擊實例對該方法有效性和正確性進行驗證，結果表明該方法使復雜的入侵檢測系統描述更加模塊化、簡單，有效。大大提高了入侵檢測系統建模和分析的效率。
關鍵詞：面向對象模糊Petri網；入侵檢測；建模
中圖分類號： 文獻標識碼： 文章編號：
An Intrusion Detection Method Based on Object-Oriented Fuzzy Petri Nets
LI Jian-nan1, HU Jian-sheng2
（1. Postgraduate Team 1 ICE, PLASUT, Nanjing 210007, China; 2. Department of Basic Electronics IS, PLAUST, Nangjing 211101, China)
Abstract: According to the Intrusion Detection System is fuzzy and complexity of modeling, Propose a kind of model and algorithm based on Object-Oriented Fuzzy Petri nets.Which iscombi- ed the modular of object-oriented technology and modeling fuzzy reasoning of Fuzzy Petri Nets. OOFPN facilitates the analysis of knowledge and reasonning reduces the complesity of knowledge systems,at the same time facilitates the modeling and management.At the last,using a practical instance to test the algorithm. The experiment proves the validity, simplicity and efficiency in the end; it improved the efficiency of modeling and analysis.
Key words: Object-Oriented Fuzzy Petri nets; intrusion detection; modeling
參考文獻
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第一作者簡介：李建楠(1986－),男（滿族）,河北省遵化市人,碩士在讀,主要研究領域為通信技術、Petri網在計算機通信領域相關應用、電子裝備可靠性分析
