| 量子遗传算法在基于人工免疫的入侵检测系统中的应用 |
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| 引用本文： | 冯莉,孙力娟. 量子遗传算法在基于人工免疫的入侵检测系统中的应用[J]. 计算机应用与软件, 2006, 23(10): 23-24,115 |
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| 作者姓名： | 冯莉 孙力娟 |
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| 作者单位： | 南京邮电大学计算机科学与技术系,江苏,南京,210003;南京邮电大学计算机科学与技术系,江苏,南京,210003 |
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| 基金项目： | 江苏省高校自然科学基金 |
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| 摘 要： | 一个高效的入侵检测系统需要根据网络流的变化，不断对检测子进行优化。将新型的启发式方法——量子遗传算法应用于入侵检测系统中，并进行了仿真实验。结果表明：量子遗传算法在优化性能上优于传统遗传算法，它使种群具有多样性，提高了算法效率。
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| 关 键 词： | 量子遗传算法 入侵检测 人工免疫 检测子 |
| 收稿时间： | 2005-11-10 |
| 修稿时间： | 2005-11-10 |
APPLICATION OF QUANTUM GENETIC ALGORITHM TO THE IDS WHICH BASED ON ARTIFICIAL IMMUNE |
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| Feng Li,Sun Lijuan. APPLICATION OF QUANTUM GENETIC ALGORITHM TO THE IDS WHICH BASED ON ARTIFICIAL IMMUNE[J]. Computer Applications and Software, 2006, 23(10): 23-24,115 |
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| Authors: | Feng Li Sun Lijuan |
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| Affiliation: | Department of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu 210003, China |
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| Abstract: | An effective Intrusion Detection System (IDS) needs to optimize detectors according to the change of the net traffic.This paper discusses a new solution for the optimization problems:Quantum Genetic Algorithm(QGA).In this paper,the application of QGA to the IDS is investigated deeply,and computer simulations are carried out.The simulation experiments prove that the QGA gains an advantage over the Conventional Genetic Algorithm(CGA),it makes the population diversity,so its efficiency is higher. |
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| Keywords: | Quantum genetic algorithm Intrusion detection Artificial immune Detector |
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