大规模IP网络中的隐性不当行为和可疑流量检测

Timo Seppälä, Teemu Alapaholuoma, Olli Knuuti, J. Ylinen, P. Loula, Kimmo Hätönen
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引用次数: 5

摘要

大规模IP网络对安全提出了特殊的挑战。这种网络由大量具有各种流量行为的设备组成。为入侵检测和监视机制找到合适的阵容是一项挑战。本文主要研究Snort和Bro-IDS系统。我们建立了一个测试平台,将这两种检测系统放在一起,并在真实的IP网络中进行比较。本文给出的所有结果都在保护最终用户隐私和匿名的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit Malpractice and Suspicious Traffic Detection in Large Scale IP Networks
Large-scale IP networks present special challenges to security. Such networks consist of a large number of devices with a vast variety of traffic behavior. Finding a suitable line-up for the intrusion detection and monitoring mechanism is challenging. In this paper, we study the Snort and Bro-IDS systems. We have built a test platform, where we put those two detection systems side by side and compare them in a real IP network. All the results presented in this paper are under protection of end user privacy and anonymity.
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