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首页> 外文期刊>Communications Letters, IEEE >An Efficient Privacy Preserving Data Aggregation Scheme with Constant Communication Overheads for Wireless Sensor Networks
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An Efficient Privacy Preserving Data Aggregation Scheme with Constant Communication Overheads for Wireless Sensor Networks

机译:无线传感器网络中具有恒定通信开销的高效隐私保护数据聚合方案

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Providing efficient data aggregation while preserving data privacy in wireless sensor networks (WSNs) is a challenging problem. Existing security schemes either incur high communication and computational overheads or simply fail to counter attacks when nodes are compromised. In this paper, we present a multidimensional privacy preserving data aggregation scheme for WSNs which is efficient and provides strong security. The scheme not only provides efficient countermeasure against passive and active privacy compromising attacks, coalition attacks from malicious base station and captured sensor nodes, but also is robust to data loss. In addition, the proposed scheme provides data aggregation with constant communication overheads, so that the transmission cost can be significantly reduced which makes it suitable to be used in large scale WSNs. To the best of our knowledge, our scheme is the first one that addresses the privacy and efficiency issues in WSNs all at once.
机译:在保持无线传感器网络(WSN)中的数据隐私的同时,提供有效的数据聚合是一个具有挑战性的问题。现有的安全方案要么会导致较高的通信和计算开销,要么在节点受到威胁时根本无法抵抗攻击。在本文中,我们提出了一种用于无线传感器网络的多维隐私保护数据聚合方案,该方案高效且提供了强大的安全性。该方案不仅可以提供有效的对策,以应对被动和主动的隐私泄露攻击,来自恶意基站和捕获的传感器节点的联合攻击,而且还可以防止数据丢失。另外,所提出的方案为数据聚合提供了恒定的通信开销,从而可以显着降低传输成本,这使其适合在大规模WSN中使用。据我们所知,我们的方案是第一个同时解决WSN中的隐私和效率问题的方案。

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