高速网络中有效检测的IDS自适应

Abdelhalim Zaidi, Tayeb Kenaza, N. Agoulmine
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引用次数: 6

摘要

入侵检测系统在网络安全解决方案中是必不可少的。然而,随着网络技术的飞速发展,目前的IDS体系结构已不支持高速通信。因此,提高IDS的性能是研究人员关注的主要问题。本文提出了一种基于网络连接分类的入侵检测模型。我们的方法是基于智能损失的原则。我们提出了一个基于连接是否是恶意的原则的分类模型。在第一种情况下,IDS必须处理连接;否则我们可以忽略它。这种方法在允许错误阈值的情况下显著减少了发送到IDS的网络流。该阈值可以通过分类模型的更新过程进行调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IDS Adaptation for an Efficient Detection in High-Speed Networks
Intrusion Detection Systems are essential in a network security solution. However, with the significant development of network technologies, the current IDS architecture does not support high-speed communications. Therefore, improving the performance of IDS is a major concern for researchers. In this paper, we present a model of intrusion detection based on the classification of network connections. Our approach is based on the principle of an intelligent loss. We propose a classification model based on the principle that a connection is either malicious or not. In the first case, the connection must be handled by the IDS; otherwise we can ignore it. This method reduces significantly the network flow sent to the IDS with a tolerance of an error threshold. This threshold can be adjusted by the updating process of the classification model.
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