标题:基于共识波纹的SISSLE:速度,安全性,最后一英里连接性和易用性方面的一些改进

摘要】加密货币正在诸如实时总结算和支付系统等领域迅速找到广泛的应用。 Ripple是一种加密货币,在银行和支付提供商中倍受关注。它使用波纹协议共识算法(RPCA)解决了拜占庭将军的问题,该协议中的每个服务器都维护一个服务器列表,称为唯一节点列表(UNL),该列表代表服务器的网络,并且不会集体对其进行欺诈。服务器认为,当UNL成员就交易达成共识时,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,最后一英里的连接性和易用性。我们为构建和维护UNL实施准则和自动化系统,以实现弹性,健壮性,改进的安全性和有效的信息传播。我们增强了系统,以确保每个服务器都从整个网络而不是仅从UNL成员那里接收信息。我们还介绍了UNL重叠的范式,它是信息传播和服务器为其自身UNL分配的信任的函数。我们的设计不仅减少了诸如Eclipse攻击之类的漏洞,而且还使识别恶意行为和企图欺诈性地双倍花费或使系统停止运行的实体变得更加容易。我们提供了实验方法证明了我们的方法比当前的Ripple方案更具优势。我们分别观察到$ \ geq 4.97x $和$ 98.22x $的信息传播加速和成功率,以及$ \ geq 3.16x $和$ 51.70x $的加速和成功率一致。

Title: SISSLE in consensus-based Ripple: Some Improvements in Speed, Security, Last Mile Connectivity and Ease of Use

[abstract]  Cryptocurrencies are rapidly finding wide application in areas such as Real Time Gross Settlements and Payments Systems. Ripple is a cryptocurrency that has gained prominence with banks and payment providers. It solves the Byzantine General’s Problem with it’s Ripple Protocol Consensus Algorithm (RPCA), where each server maintains a list of servers, called Unique Node List (UNL) that represents the network for the server, and will not collectively defraud it. The server believes that the network has come to a consensus when members of the UNL come to a consensus on a transaction.
In this paper we improve Ripple to achieve better speed, security, last mile connectivity and ease of use. We implement guidelines and automated systems for building and maintaining UNLs for resilience, robustness, improved security, and efficient information propagation. We enhance the system so as to ensure that each server receives information from across the whole network rather than just from the UNL members. We also introduce the paradigm of UNL overlap as a function of information propagation and the trust a server assigns to its own UNL. Our design not only reduces vulnerabilities such as eclipse attacks, but also makes it easier to identify malicious behaviour and entities attempting 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 $\geq 4.97x$ and $98.22x$ in speedup and success rate for information propagation respectively, and $\geq 3.16x$ and $51.70x$ in speedup and success rate in consensus.

【作者】Mayank Mundhra, Chester Rebeiro

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