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Cooperative Defense Against Pollution Attacks in Network Coding Using SpaceMac

机译:使用SpaceMac的网络编码中的协同防御污染攻击

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摘要

Intra-session network coding is inherently vulnerable to pollution attacks. In this paper, first, we introduce a novel homomorphic MAC scheme called SpaceMac, which allows an intermediate node to verify whether received packets belong to a specific subspace, even if the subspace is expanding over time. Then, we use SpaceMac as a building block to design a cooperative scheme that provides complete defense against pollution attacks: (i) it can detect polluted packets early at intermediate nodes, and (ii) it can identify the exact location of all, even colluding, attackers, thus making it possible to eliminate them. Our scheme is cooperative: parents and children of any node cooperate to detect any corrupted packets sent by the node, and nodes in the network cooperate with a central controller to identify the exact location of all attackers. We implement SpaceMac in both C/C++ and Java as a library, which we make publicly available. Our evaluation on both a PC and an Android device shows that the SpaceMac algorithms can be computed quickly and efficiently and that our cooperative defense scheme has low computation overhead and significantly lower communication overhead than those of state-of-the-art schemes.
机译:会话内网络编码天生就容易受到污染攻击。在本文中,首先,我们介绍了一种称为SpaceMac的新型同态MAC方案,该方案允许中间节点验证接收到的数据包是否属于特定的子空间,即使该子空间随着时间的推移而扩展。然后,我们将SpaceMac用作构建模块,以设计一种可以完全防御污染攻击的协作方案:(i)可以在中间节点尽早检测到污染的数据包,并且(ii)可以识别所有数据包的确切位置,甚至串通攻击者,因此可以消除他们。我们的方案是合作的:任何节点的父级和子级合作以检测该节点发送的任何损坏的数据包,并且网络中的节点与中央控制器合作以识别所有攻击者的确切位置。我们将C / C ++和Java作为一个库来实现SpaceMac,并将其公开提供。我们在PC和Android设备上的评估表明,SpaceMac算法可以快速而有效地进行计算,并且我们的协作防御方案与现有方案相比,具有较低的计算开销和显着更低的通信开销。

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