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PEQ: A Privacy-Preserving Scheme for Exact Query Evaluation in Distributed Sensor Data Networks

机译:PEQ:分布式传感器数据网络中的精确查询评估的隐私保留方案

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Evaluating queries in distributed sensor networks while preserving privacy of data is a challenging problem. In this paper, we propose a new scheme for evaluating almost all types of queries, including sum, min/max, mean, median and histogram, emph{accurately} while, at the same time, preserving privacy of individual data. Our scheme does not require sensor nodes to share secret keys with each other. Further, it does not use encryption and secure hashing, both of which can be expensive operations.
机译:评估分布式传感器网络中的查询,同时保留数据隐私是一个具有挑战性的问题。在本文中,我们提出了一种新的方案,用于评估几乎所有类型的查询,包括总和,min / max,平均值,中值和直方图,同时保留各个数据的隐私,表明{准确}。我们的计划不需要传感器节点来彼此共享密钥。此外,它不使用加密和安全散列,这两者都可以是昂贵的操作。

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