Detection of cache pollution attacks using randomness checks
Detection of cache pollution attacks using randomness checks
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DOI：
10.1109/icc.2012.6363885
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发表时间：
2012-06
期刊：
影响因子：
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通讯作者：
Hyundo Park;I. Widjaja;Heejo Lee
中科院分区：
文献类型：
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作者：
Hyundo Park;I. Widjaja;Heejo Lee
互联网在内容传播方面发挥着越来越大的作用，因为用户生成的内容最近出现了爆炸式增长。部署缓存服务器是为了绕过网络中的瓶颈，以便更有效地将内容交付给最终用户。随着缓存越来越多地嵌入到网络中，新出现的威胁自然随之而来。缓存污染攻击是缓存网络上最严重的威胁之一，包括当前的互联网和新兴的缓存网络，如内容中心网络（CCN）。在本文中，我们提出了一种检测方法对缓存污染攻击使用随机检查矩阵。我们采用了有效的过滤方法和统计序列分析检测低速率攻击。实验结果表明，该方法可以检测出攻击率仅占整体攻击率百分之几的缓存污染攻击。
The Internet plays an increasing role in content dissemination as user-generated contents have exploded recently. Cache servers have been deployed to bypass bottlenecks in the network so that contents can be delivered to end users more efficiently. With caches becoming more embedded in the networks, emerging threats follow naturally. A cache pollution attack is one of the most serious threats on caching networks including the current Internet and emerging caching networks such as Content Centric Networking (CCN). In this paper, we propose a detection approach against cache pollution attacks using randomness checks of a matrix. We apply an effective filtering approach and a statistical sequential analysis for detecting low-rate attacks. The results of our experiments show that our approach can detect a cache pollution attack with attack rate of only a few percent of the overall rate.