基于共识的Ripple中的SISSLE：速度，安全性和最后一英里连接性的一些改进
SISSLE in consensus-based Ripple: Some Improvements in Speed, Security and Last Mile Connectivity
摘要：
加密货币正在快速应用于实时总结算和支付等领域。Ripple是一种加密货币，在银行和支付提供商中获得了突出地位。它通过Ripple协议共识算法（RPCA）解决了拜占庭将军的问题，每个服务器维护一个服务器列表，称为唯一节点列表（UNL），它代表该服务器的网络，不会集体欺骗它。当UNL上的服务器就交易达成共识时，服务器认为网络已经达成共识。在本文中，我们改进了Ripple，以实现更好的速度，安全性和最后一英里连接。我们实施弹性，鲁棒性，提高安全性和有效的信息传播（IP）的指导方针。我们增强了系统，以确保每个服务器接收来自整个网络的信息，而不仅仅是来自UNL成员。我们介绍的范式UNL重叠的IP和信任的服务器分配给自己的UNL的功能。我们的设计可以识别和减轻一些恶意行为，包括试图欺诈性地双倍支出或停止系统。我们提供了实验证据，证明我们的方法优于当前的Ripple方案。我们观察到$\geq 99.67\%$减少了双重花费攻击和审查的机会，$1.71x$增加了对$\geq 34.21\%$恶意节点的容错能力，分别针对IP的$\geq 4.97x$和$98.22x$的加速和成功率，以及分别针对共识的$\geq 3.16x$和$51.70x$的加速和成功率。
英文摘要：
Cryptocurrencies are rapidly finding application in areas such as Real Time Gross Settlements and Payments. Ripple is a cryptocurrency that has gained prominence with banks and payment providers. It solves the Byzantine General's Problem with its Ripple Protocol Consensus Algorithm (RPCA), where each server maintains a list of servers, called the Unique Node List (UNL), that represents the network for that server and will not collectively defraud it. The server believes that the network has come to a consensus when servers on the UNL come to a consensus on a transaction. In this paper we improve Ripple to achieve better speed, security and last mile connectivity. We implement guidelines for resilience, robustness, improved security, and efficient information propagation (IP). We enhance the system to ensure that each server receives information from across the whole network rather than just from the UNL members. We introduce the paradigm of UNL overlap as a function of IP and the trust a server assigns to its own UNL. Our design makes it possible to identify and mitigate some malicious behaviours including attempts to fraudulently Double Spend or stall the system. We provide experimental evidence of the benefits of our approach over the current Ripple scheme. We observe $\geq 99.67\%$ reduction in opportunities for double spend attacks and censorship, $1.71x$ increase in fault tolerance to $\geq 34.21\%$ malicious nodes, $\geq 4.97x$ and $98.22x$ speedup and success rate for IP respectively, and $\geq 3.16x$ and $51.70x$ speedup and success rate in consensus respectively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
