| 无线传感器网络中基于SVM的合作型入侵检测系统* |
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| 引用本文： | 祝琦,宋如顺,姚永仙. 无线传感器网络中基于SVM的合作型入侵检测系统*[J]. 计算机应用研究, 2010, 27(4): 1489-1492. DOI: 10.3969/j.issn.1001-3695.2010.04.079 |
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| 作者姓名： | 祝琦 宋如顺 姚永仙 |
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| 作者单位： | 南京师范大学,数学与计算机科学学院,南京,210046 |
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| 基金项目： | 国家“211工程”建设项目（181070H901）;江苏省自然科学基金资助项目(2003101SBRB231) |
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| 摘 要： | 由于许多重要的无线传感器网络需要一个高效、轻量级、灵活的入侵检测算法来检测恶意节点,提出了一种基于二叉树的SVM多类分类方法的合作型入侵检测方案。该方案可扩展性较好，有效地节省了传感器节点的能量。仿真实验表明,与已经提出的入侵检测系统相比,该方案具有较低的误报率和较高的检测率。
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| 关 键 词： | 无线传感器网络 入侵检测 支持向量机 二叉树多类分类方法 误报率 检测率 |
SVM-based cooperation intrusion detection system for WSN |
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| ZHU Qi,SONG Ru-shun,YAO Yong-xian. SVM-based cooperation intrusion detection system for WSN[J]. Application Research of Computers, 2010, 27(4): 1489-1492. DOI: 10.3969/j.issn.1001-3695.2010.04.079 |
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| Authors: | ZHU Qi SONG Ru-shun YAO Yong-xian |
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| Affiliation: | (School of Mathematics & Computer Science, Nanjing Normal University, Nanjing 210046, China) |
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| Abstract: | Due to many critical wireless sensor networks require an efficient, lightweight and flexible intrusion detection algorithm to identify malicious attackers, this paper proposed SVM-based cooperation intrusion detection scheme. The scheme has a good expansibility and effectively saves the energy of sensor nodes. Simulation results show that the scheme has a low false alarm rate and a higher detection rate compared with existing intrusion detection schemes. |
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| Keywords: | wireless sensor networks(WSN) intrusion detection support vector machine(SVM) binary tree multi-class classification method false alarm detection accuracy |
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