基于数据融合的入侵检测模型

Xiaofeng Zhao, Hua Jiang, Liyan Jiao
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引用次数: 12

摘要

黑客攻击的多样化和智能化使得单一的入侵检测手段难以获得良好的检测效果。因此,如何结合多种安全措施,为网络系统提供更有效的保护,成为当前研究的新热点之一。提出了一种基于数据融合理论的计算机信息安全保护系统。该系统将多种检测手段“融合”在一起,具有较低的误报率和误报率,具有较好的可扩展性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Data Fusion Based Intrusion Detection Model
The diversification and intelligent of hackers’ attacks makes it hard for single intrusion detection measure to attain favorable detection result. Therefore, it becomes one of the new hot spots in current research that how to combine multiple security measures to provide the network system more effective protection. A new computer information security protection system based on data fusion theory is proposed in this paper. Multiple detection measures are “fused” in this system, so that it has lower false negatives rate and false positive rate as well as better scalabilities and robust.
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