防范探测-响应攻击

Emmanouil Vasilomanolakis, Noorulla Sharief, M. Mühlhäuser
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引用次数: 1

摘要

随着网络攻击的日益复杂,协同防御方法如协同入侵防御系统(CIDSs)已经出现。cids利用大量异构监视器来创建被监视网络的整体图像。如今,许多研究机构和公司部署了通过Internet公开发布警报数据的cids。这样的系统对研究人员和安全管理员很重要,因为它们为实验提供了真实世界警报数据的来源。然而,存在一类称为探测-响应攻击(Probe-Response attacks, PRAs)的攻击,它们会大大降低CIDS的好处。特别是,这种攻击允许攻击者检测CIDS监视器的网络位置。在本文中,我们首先研究了相关工作,并分析了防御pra的各种缓解技术。随后,我们提出了一种新的缓解机制,以改善目前的现状。我们的方法,即基于Shuffle-based PRA Mitigation (SPM),是基于对水印(即所谓的标记)进行洗牌的思想,攻击者需要这些水印才能成功执行PRA。这样一来,整个攻击过程就被打乱了,只发现了极少数已查明的监测员。我们的实验结果表明,我们提出的方法显着降低了PRA的影响,同时它没有引入对CIDS产生的数据可用性的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defending against Probe-Response Attacks
With the increase in the sophistication of cyberattacks, collaborative defensive approaches such as Collaborative IDSs (CIDSs) have emerged. CIDSs utilize a multitude of heterogeneous monitors to create a holistic picture of the monitored network. Nowadays, a number of research institutes and companies deploy CIDSs that publish their alert data publicly, over the Internet. Such systems are important for researchers and security administrators as they provide a source of real-world alert data for experimentation. However, a class of attacks exist, called Probe-Response Attacks (PRAs), which can significantly reduce the benefits of a CIDS. In particular, such attacks allow an adversary to detect the network location of the monitors of a CIDS. In this paper, we first study the related work and analyze the various mitigation techniques for defending against PRAs. Subsequently, we propose a novel mitigation mechanism that improves the state of the art. Our method, namely the Shuffle-based PRA Mitigation (SPM), is based on the idea of shuffling the watermarks, so-called markers, which the adversary requires to successfully perform a PRA. By doing so the whole process of the attack is disrupted leading to a very small number of identified monitors. Our experimental results suggest that our proposed method significantly reduces the impact of a PRA whilst it does not introduce a trade-off for the usability of the data produced by the CIDS.
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