@inproceedings{89f11af7b8714a5f8ea434cc248dfb98,
title = "The Problem of Node Records Forgery in Ethereum Network",
abstract = "Ethereum is currently the most widely used smart contract platform. The security of tens of thousands of smart contracts depends on the security of Ethereum itself. The underlying peer-to-peer network provides a reliable node connection mechanism, while efficient data sharing protocol is the premise of Blockchain network security. In this paper, we use the simulation technology to implement an Ethereum network detector named NodeHunter. It can collect all node records in the network and the connection relationship between nodes. Based on connection information between nodes, it can obtain more comprehensive data to analyze the network status than previous detection methods. During a quarter of continuous monitoring of the Ethereum network, we have obtained a total of more than 2 million node records and more than 100 million node acquaintances. By analyzing the collected data, we found that more than 49\% of the node records are maliciously forged.",
keywords = "Blockchain, Ethereum, Malicious behavior, Node discovery protocol, Peer-to-Peer networks",
author = "Yang Liu and Yuxi Zhang and Zhiyuan Lin and Jiang, \{Zoe L.\} and Xuan Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 ; Conference date: 26-05-2023 Through 29-05-2023",
year = "2024",
doi = "10.1007/978-3-031-44947-5\_71",
language = "英语",
isbn = "9783031449468",
series = "Mechanisms and Machine Science",
publisher = "Springer Science and Business Media B.V.",
pages = "931--942",
editor = "Shaofan Li",
booktitle = "Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2023—Volume 3",
address = "荷兰",
}