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PDF: A Public-key based False Data Filtering Scheme in Sensor Networks

机译:PDF:传感器网络中基于公钥的虚假数据过滤方案

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Given the extremely limited hardware resources on sensor nodes and the inclement deploying environment, the adversary Denial-of-Service (DoS) attack becomes a serious security threat toward wireless sensor networks. Without adequate defense mechanism, the adversary can simply inundate the network by flooding the bogus data packets, and paralyze the partial or whole sensor network by depleting node battery power. Prior work on false packet filtering in sensor networks are mostly based on symmetric key schemes, with the concern that the public key operations are too expensive for the resource constrained sensors. Recent progress in public key implementations on sensors, however, has shown that public key is already feasible for sensors. In this paper, we present PDF, a Public-key based false Data Filtering scheme that leverages Shamir's threshold cryptography and Elliptic Curve Cryptography (ECC), and effectively rejects 100% of false data packets. We evaluate PDF by real world implementation on MICAz motes. Our experiment results support the conclusion that PDF is practical for real world sensor deployment.
机译:鉴于传感器节点上的硬件资源极为有限,对手拒绝服务(DOS)攻击成为无线传感器网络的严重安全威胁。如果没有足够的防御机制,对手可以通过泛滥数据包淹没网络,并通过耗尽节点电池电量来瘫痪部分或整个传感器网络。在传感器网络中的假数据包过滤的前程主要基于对称密钥方案,担心公钥操作对于资源受限传感器来说太昂贵了。然而,最近在传感器上的公钥实现的进展表明,公钥对于传感器来说已经是可行的。在本文中,我们呈现PDF,一种基于公钥的虚假数据过滤方案,利用Shamir的阈值加密和椭圆曲线加密(ECC),并有效地拒绝了100%的假数据包。我们在Micaz Motes上的现实世界实施评估PDF。我们的实验结果支持了PDF对于现实世界传感器部署的实用性的结论。

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