| 一种应用于DIDS的实时自调整归约算法 |
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| 引用本文： | 曹元大,卜阳,阎慧.一种应用于DIDS的实时自调整归约算法[J].北京理工大学学报,2004,24(6):537-540. |
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| 作者姓名： | 曹元大 卜阳 阎慧 |
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| 作者单位： | 北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081 |
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| 摘 要： | 根据归约与分布处理的思路,设计了用于分布式入侵检测系统节点的实时自调整归约算法,并在Java环境中实现.在实验平台上验证了算法的正确性并证明其有效性.实时自调整归约算法能让使用者根据实际环境改变算法参数,使归约效果、警报响应实时性和系统性能能同时接近最优,为设计高效、稳定的入侵检测系统提供了一条捷径.
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| 关 键 词： | 入侵检测系统(IDS) 实时归约 分布式 |
| 文章编号： | 1001-0645(2004)06-0537-04 |
| 收稿时间： | 2003/8/18 0:00:00 |
| 修稿时间： | 2003年8月18日 |
A Real Time Self-Adjusting Reduction Algorithm Applied to Distributed Intrusion Detection Systems |
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| CAO Yuan-d,BU Yang and YAN Hui.A Real Time Self-Adjusting Reduction Algorithm Applied to Distributed Intrusion Detection Systems[J].Journal of Beijing Institute of Technology(Natural Science Edition),2004,24(6):537-540. |
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| Authors: | CAO Yuan-d BU Yang and YAN Hui |
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| Institution: | Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China |
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| Abstract: | A real time self-adjusting reduction algorithm is provide, which is based on the notion of reduction and distributed processing. The algorithm is implemented in Java. Validity and effectivity of the algorithm has been testified on an experimental platform. As far as is known, in DIDS, reduction effect, real time performance of alert response and system performance cannot be optimal simultaneously. The algorithm is enabled to adjust in reduction effect and the system performance optimized by changing some parameters, and it is thus provided to present a new approach to the design of effective and stable intrusion detection systems. |
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| Keywords: | intrusion detection systems real time reduction distributed |
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