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Authenticated flooding in large-scale sensor networks

机译:在大型传感器网络中进行身份验证的洪水

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Two asymmetric mechanisms are often employed in large-scale systems to achieve scalable and efficient authenticated broadcast. However, cryptographic asymmetry based on public-key schemes is computationally expensive, while time asymmetry based on delayed-key release requires time synchronization cross the entire network and temporal buffering of messages at receivers. Neither approach is suitable for large-scale sensor networks composed of computation and storage constrained low-end sensor nodes. In this paper, we propose novel flooding authentication mechanism based on our "information asymmetry" model. Our design is built on top of symmetric cryptography for computation efficiency, and leverages the asymmetric key distribution between the sink and sensor nodes. Through intensive analysis we demonstrate optimized tradeoff between the resilience to compromised sensor nodes and the scalability to system size through space-efficient bloom filters as the authenticator. With a novel "false negative" tuning knob introduced in the construction of bloom filter, we show that the scalability of the authentication primitive can be greatly improved at the cost of small controlled degradation of security, therefore rendering a practical authenticated flooding for large-scale sensor networks.
机译:两个不对称机制通常用于大规模系统,以实现可扩展和高效的经过身份验证的广播。然而,基于公钥方案的加密不对称是计算昂贵的,而基于延迟密钥释放的时间不对称需要时间同步交叉整个网络和接收器处的消息的时间缓冲。既不适用于由计算和存储结构组成的大规模传感器网络的方法都不适用于电压的低端传感器节点。本文提出了基于我们“信息不对称”模型的新型洪水认证机制。我们的设计建立在对称加密的顶部以进行计算效率,利用水槽和传感器节点之间的非对称密钥分布。通过密集分析,我们在损害传感器节点和系统大小通过节省空间的盛开过滤器作为认证器时,我们展示了恢复性的优化权衡。通过一种新颖的“假阴性”调谐旋钮,在盛开过滤器的构建中引入,我们表明认证原语的可扩展性可以以小型控制的安全性的成本大大提高,因此为大规模进行了实用的经过实用的验证洪水传感器网络。

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