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Design of privacy-preserving mobile Bitcoin client based on γ-deniability enabled bloom filter

机译:基于γ-DENICALY的隐私保留移动比特币客户端设计启用盛开过滤器

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Bitcoin is a decentralized currency system that does not need any central authorities. All transactions issued by users have been recorded in the common ledger, called blockchain, which is shared by all users. In Bitcoin, an SPV (Simplified Payment Verification) client, which is a lightweight client that does not possess the entire blockchain, are developed for storage constrained devices such as a mobile phone. For an SPV client to check if there are transactions related to it, a Bloom filter where their Bitcoin addresses are involved is sent to a full client that possesses the entire blockchain. The full client only transfers transactions of which Bitcoin addresses are positive on the received Bloom filter. However, it is necessary to preserve the privacy of SPV clients when designing a Bloom filter because SPV clients' Bitcoin addresses will be identified by a full client with high probability. In this paper, we propose a privacy-preserving Bloom filter design for SPV clients based on γ-Deniability. γ-Deniability is a privacy metric that shows how much true positive Bitcoin addresses are hidden by the false positives in a Bloom filter. Furthermore, in order to design a Bloom Filter that satisfies a certain γ-Deniability, it is necessary to know the number of unique Bitcoin addresses that appear for the first time since the queried time. Based on our manual inspection, we propose to estimate it based on the linear regression. We show that our scheme achieves good estimation accuracy and γ through the simulation with a real Bitcoin blockchain.
机译:比特币是一种不需要任何中央当局的分散货币制度。用户颁发的所有交易都已记录在公共分类帐中,称为BlockChain,由所有用户共享。在比特币中,SPV(简化的付款验证)客户端是一个不具有整个区块链的轻量级客户端,用于存储受限设备,例如移动电话。对于SPV客户端检查是否存在与其相关的事务,涉及其比特币地址的绽放过滤器将被发送到具有整个区块链的完整客户端。完整客户端仅传输所接收的Bloom过滤器上的比特素地址的交易。但是,在设计绽放过滤器时,必须保留SPV客户端的隐私,因为SPV客户端的比特币地址将由具有高概率的完整客户端来识别。在本文中,我们提出了一种基于γ可粘性的SPV客户端保留的盛开滤波器设计。 γ-decive是一种隐私度量,显示了盛开过滤器中的误报的真正正比特币地址是多少。此外,为了设计满足某种γ致耐γ的绽放过滤器,有必要知道自查询时间自第一次出现的唯一比特币地址的数量。根据我们的手动检查,我们建议根据线性回归估算它。我们表明,我们的方案通过使用真正的比特币区间模拟实现了良好的估计精度和γ。

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