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Visualization of Ethereum P2P network topology and peer properties

机译:Ethereum P2P网络拓扑和对等特性的可视化

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Ethereum is arguably the second most popular cryptocurrency-based network after Bitcoin. Both use the distributed ledger technology known as the blockchain, which is considered secure. However, the provided security level is proportional to the number of connected nodes, the number of influential nodes, and the supported amount of hash power. Thus, the knowledge of the network properties and nodes' behavior is helpful to protect the network from possible attacks such as double-spending attacks, DDoS attacks, 51% attacks, and Sybil attacks. This paper proposes a node discovery mechanism, which performs a P2P link discovery on the Ethereum main network. For that, we develop Search-node, a modified version of Ethereum client that searches for all participating nodes in the blockchain network, stores the node information in the Bucket, and then processes the peer discovery method. Based on the collected data, we first visualize the Ethereum network topology and analyze the attributes of the network such as node degree, path length, diameter, and clustering coefficient. We then analyze the node properties and provide analytical results regarding the relationship between nodes, heavily connected nodes, node geo-distribution, security issues, and possible attacks over the influential nodes. As a result, we have identified 68,406 nodes with a total of 642,034 edges. By analyzing the collected data, we have found that the diameter in the Ethereum network is equal to 8. The node degree is over 19, which is two times higher than the default configuration.
机译:Ethereum可以说是比特币后的第二个最受欢迎的加密货币网络。两者都使用被称为区块链的分布式分类帐技术,该技术被认为是安全的。然而,所提供的安全级别与连接节点的数量,有影响的节点的数量和支持量的散列电量成比例。因此,网络属性和节点的行为的知识有助于保护网络免受可能的攻击,例如双重支出攻击,DDOS攻击,51%的攻击和Sybil攻击。本文提出了一种节点发现机制,它在Etereum主网络上执行P2P链路发现。为此,我们开发搜索节点,Ethereum客户端的修改版本,用于搜索区块链中的所有参与节点,将节点信息存储在桶中,然后处理对等体发现方法。基于收集的数据,我们首先将Ethereum网络拓扑进行可视化并分析网络的属性,例如节点度,路径长度,直径和聚类系数。然后,我们分析节点属性,并提供关于节点,重连接的节点,节点地理分布,安全问题和可能攻击对有影响性节点之间的关系的分析结果。结果,我们已经确定了68,406个节点,总共642,034个边缘。通过分析所收集的数据,我们发现了以外型网络中的直径等于8.节点度超过19,比默认配置高两倍。

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