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基于自适应直觉模糊推理的入侵检测系统设计与实现

Design and Realization for IDS Based on Adaptive Intuitionistic Fuzzy Reasoning
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摘要 通过对入侵检测技术和自适应神经-直觉模糊推理系统的研究,设计并实现了基于自适应直觉模糊推理的入侵检测系统.首先,详细阐述了系统的总体框架设计及各模块的设计.其次,选用KDDCUP99数据集作为入侵检测数据集,对设计的入侵检测系统进行实现,并详细叙述了具体的检测步骤.最后,通过获得的检测结果验证了系统的可行性. Through studying the intrusion detection technology and Adaptive Neuro-lntuitionistic Fuzzy Inference System, the intrusion detection system based on Adaptive Neuro-Intuitionistic Fuzzy Inference System （ANIFIS） is designed and realized. First, the main framework design of the system and every module＇s design are introduced. Then, the intrusion detection system is realized which use KDD CUP 99 dataset as intrusion detection dataset and the step of detection is also introduced. Finally, the validity of the system is verified by the result of detection.
作者 张弛 雷英杰 黄孝文
机构地区 空军工程大学导弹学院计算机工程系
出处 《微电子学与计算机》 CSCD 北大核心 2009年第11期51-54,58,共5页 Microelectronics & Computer
基金 国家自然科学基金项目(60773209) 陕西省自然科学基金资助项目(2006F18)
关键词 入侵检测 自适应 直觉模糊推理 KDD CUP 99数据集 intrusion detection adaptive intuitionistic fuzzy reasoning KDD CUP 99 dataset
分类号 TP183 [自动化与计算机技术—控制理论与控制工程] TP391 [自动化与计算机技术—计算机应用技术]
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微电子学与计算机
2009年 第11期

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