| 基于分形特征的网络异常检测方法研究 |
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| 引用本文： | 刘峰,胡昌振,帅艳民.基于分形特征的网络异常检测方法研究[J].计算机工程与应用,2004,40(22):34-36. |
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| 作者姓名： | 刘峰 胡昌振 帅艳民 |
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| 作者单位： | 1. 北京理工大学机电工程学院,北京,100081
2. 北京师范大学地理与遥感科学学院,北京,100875 |
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| 基金项目： | 国家863高技术研究发展计划支持项目(编号:2002AA4Z3420) |
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| 摘 要： | 网络连接同许多其它现象一样,呈现出一种统计自相似性。论文根据此特征提出了一种基于分形特征的网络异常检测方法,该方法能够根据网络连接分形维数的变化,有效地检测网络拒绝服务攻击和端口扫描等异常情况,并通过模拟实验证明了该方法的可行性。
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| 关 键 词： | 网络安全 分形 自相似 |
| 文章编号： | 1002-8331-(2004)22-0034-03 |
A Novel Approach Based on Fractal Characteristics for Anomaly Detection |
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| Liu Feng,Hu Changzhen,Shuai Yanmin.A Novel Approach Based on Fractal Characteristics for Anomaly Detection[J].Computer Engineering and Applications,2004,40(22):34-36. |
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| Authors: | Liu Feng Hu Changzhen Shuai Yanmin |
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| Affiliation: | Liu Feng 1 Hu Changzhen 1 Shuai Yanmin 21 |
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| Abstract: | Just as many other phenomena,network connection takes on a kind of characteristic of statistical self-simi-larity.Based on this intrinsic factor,a new anomaly detection approach using fractal theory is proposed in this paper.The method can efficiently detect port scan and network DoS attacks according to the change of network connection's fractal dimension.Simulated tests given in the paper have proved its feasibility and applicability. |
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| Keywords: | network security fractal self-similarity |
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