Abstract
Ethereum, currently the most widely utilized smart contracts platform, anchors the security of myriad smart contracts upon its own robustness. Its foundational peer-to-peer network facilitates a dependable node connection mechanism, whereas an efficient data-sharing protocol constitutes as the bedrock of Blockchain network security. In this paper, we propose NodeHunter, an Ethereum network detector implemented through the application of simulation technology, which is capable of aggregating all node records within the network and the interconnectedness between them. Utilizing this connection information, NodeHunter can procure more comprehensive insights for network status analysis compared to preceding detection methodologies. Throughout a three-month period of unbroken surveillance of the Ethereum network, we obtained an excess of two million node records along with over one hundred million node acquaintances. Analysis of the gathered data revealed that an alarming 49% or more of these node records were maliciously forged.
| Original language | English |
|---|---|
| Pages (from-to) | 1713-1729 |
| Number of pages | 17 |
| Journal | CMES - Computer Modeling in Engineering and Sciences |
| Volume | 138 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
Keywords
- Blockchain
- ethereum
- malicious behavior
- node discovery protocol
- peer-to-peer networks
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