| 基于混合粒子群优化算法的入侵检测研究 |
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| 引用本文： | 张凌杰,张国辉.基于混合粒子群优化算法的入侵检测研究[J].计算机应用与软件,2009,26(4). |
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| 作者姓名： | 张凌杰 张国辉 |
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| 作者单位： | 1. 华北水利水电学院水利职业学院信息工程系,河南,郑州,450011
2. 华中科技大学数字制造装备与技术国家重点实验室,湖北,武汉,430074 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对在入侵检测方法中常用的模糊聚类方法自身难以克服的对初始值敏感、容易陷入局部最优等问题,提出一种将粒子群优化算法和模糊聚类方法相结合的混合算法.对实验数据进行仿真试验,并将实验结果与其他算法结果相比较,显示出混合算法在入侵检测中能获得较好的检测能力.
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| 关 键 词： | 入侵检测 粒子群优化算法 模糊均值算法 |
RESEARCH INTRUSION DETECTION BASED ON HYBRID PSO ALGORITHM |
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| Zhang Lingjie,Zhang Guohui.RESEARCH INTRUSION DETECTION BASED ON HYBRID PSO ALGORITHM[J].Computer Applications and Software,2009,26(4). |
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| Authors: | Zhang Lingjie Zhang Guohui |
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| Affiliation: | Department of Information Engineering;North China University of Water Conservancy and Electric Power;Zhengzhou 450011;Henan;China;State Key Laboratory of Digital Manufacturing Equipment and Technology;Huazhong University of Science and Technology;Wuhan 430074;Hubei;China |
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| Abstract: | Fuzzy C-Means(FCM) is commonly used in intrusion detection,but it has some self-insuperable defects including sensitive to initial data,easy falling into local optimization and so on.To overcome those defects,a hybrid Particle Swarm Optimization combining Fuzzy Clustering Algorithm is proposed.The experiment data was simulated,and the computational results were compared with other algorithm results.The compared results showed that proposed hybrid algorithm has better detective ability than other algorithms. |
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| Keywords: | Intrusion detection PSO FCM |
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