论文标题
加密情绪:保护离子支付的隐私分裂
CryptoMaze: Privacy-Preserving Splitting of Off-Chain Payments
论文作者
论文摘要
开发的付款协议是为了实现支付渠道网络(PCN)中的链交易,假设基础路由算法通过单个路径转移付款。但是,路径可能没有足够的交易能力。不可避免地将付款跨多个路径分开。如果我们在每个路径上运行协议的独立实例,则执行可能会在某些路径中失败,从而导致部分转移资金。付款人必须重新计算剩余金额的整个过程。我们提出了一个安全且保存隐私的付款协议Cryptomaze。这些资金不是独立的路径,而是以广度优先的方式转移到负责路由的几个付款渠道中。与现有最新的最新设置相比,以降低的设置成本来更快地解决付款。部分付款之间的相关性被捕获,保证了原子。此外,两党ECDSA签名用于在参与付款的各方之间建立无脚本的锁。它通过利用核心比特币脚本来减少空间的空间。我们在通用合成框架中提供了一个正式模型,并陈述了Cryptomaze实现的隐私目标。我们将协议的性能与现有的基于单一路径的支付协议Multi-Hop HTLC进行比较,该协议在几个实例上一次迭代地应用于一个路径。可以观察到,隐态需要更少的沟通开销和较低的执行时间,这表明了效率和可扩展性。
Payment protocols developed to realize off-chain transactions in Payment channel network (PCN) assumes the underlying routing algorithm transfers the payment via a single path. However, a path may not have sufficient capacity to route a transaction. It is inevitable to split the payment across multiple paths. If we run independent instances of the protocol on each path, the execution may fail in some of the paths, leading to partial transfer of funds. A payer has to reattempt the entire process for the residual amount. We propose a secure and privacy-preserving payment protocol, CryptoMaze. Instead of independent paths, the funds are transferred from sender to receiver across several payment channels responsible for routing, in a breadth-first fashion. Payments are resolved faster at reduced setup cost, compared to existing state-of-the-art. Correlation among the partial payments is captured, guaranteeing atomicity. Further, two party ECDSA signature is used for establishing scriptless locks among parties involved in the payment. It reduces space overhead by leveraging on core Bitcoin scripts. We provide a formal model in the Universal Composability framework and state the privacy goals achieved by CryptoMaze. We compare the performance of our protocol with the existing single path based payment protocol, Multi-hop HTLC, applied iteratively on one path at a time on several instances. It is observed that CryptoMaze requires less communication overhead and low execution time, demonstrating efficiency and scalability.