| 基于大数据分析的堡垒思想入侵检测模型 |
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| 引用本文： | 唐文龙.基于大数据分析的堡垒思想入侵检测模型[J].大众科技,2016(5):1-3. |
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| 作者姓名： | 唐文龙 |
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| 作者单位： | 百色学院,广西百色,533000 |
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| 基金项目： | 广西教育厅科研项目(201204LX426)。 |
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| 摘 要： | 在计算机网络系统中,通过入侵检测可以分析入侵行为。通过分析入侵检测算法,提出一种改进的入侵检测模型,该模型基于保垒思想,实现在分布式环境下进行检测,仿真表明,该算法想比传统算法检测率和误报率较好。
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| 关 键 词： | 堡垒 分布式 入侵检测 |
Fortress thought intrusion detection model based on big data analysis |
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| Abstract: | In the computer network system, intrusion detection can be analyzed by the intrusion behavior. Through the analysis of intrusion detection algorithm, this paper proposes an improved model of intrusion detection. The model based on the idea of a fortress was in a distributed environment how to carry on the inspection. Simulation results show that the algorithm to be better than traditional algorithm, the detection rate and the false positive rate is better. |
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| Keywords: | Fortress distributed intrusion detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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