全网部署入侵检测和防御系统

V. Sekar, Ravishankar Krishnaswamy, Anupam Gupta, M. Reiter
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引用次数: 38

摘要

传统的扩展网络入侵检测(NIDS)和入侵防御系统(NIPS)的工作主要集中在单一优势点的观点上。在本文中,我们探索了一种替代设计,利用空间,网络范围的机会来分布NIDS和NIPS功能。对于NIDS情况,我们设计了一个线性规划公式,在确保节点不过载的情况下,将检测职责分配给节点。我们描述了一个基于Bro系统的原型NIDS实现,用于分析每个任务的流量,并演示了该方法实现的优势。对于NIPS,我们将展示如何最大限度地利用专用硬件(例如,tcam)来减少网络上不需要的流量的占用。这种硬件约束使得优化问题np困难,我们提供了基于随机舍入的实用逼近算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network-wide deployment of intrusion detection and prevention systems
Traditional efforts for scaling network intrusion detection (NIDS) and intrusion prevention systems (NIPS) have largely focused on a single-vantage-point view. In this paper, we explore an alternative design that exploits spatial, network-wide opportunities for distributing NIDS and NIPS functions. For the NIDS case, we design a linear programming formulation to assign detection responsibilities to nodes while ensuring that no node is overloaded. We describe a prototype NIDS implementation adapted from the Bro system to analyze traffic per these assignments, and demonstrate the advantages that this approach achieves. For NIPS, we show how to maximally leverage specialized hardware (e.g., TCAMs) to reduce the footprint of unwanted traffic on the network. Such hardware constraints make the optimization problem NP-hard, and we provide practical approximation algorithms based on randomized rounding.
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