TY - GEN
T1 - DEthna
T2 - 2024 IEEE Conference on Computer Communications, INFOCOM 2024
AU - Zhao, Chonghe
AU - Zhou, Yipeng
AU - Zhang, Shengli
AU - Wang, Taotao
AU - Sheng, Quan Z.
AU - Guo, Song
PY - 2024
Y1 - 2024
N2 - In Ethereum, the ledger exchanges messages along an underlying
Peer-to-Peer (P2P) network to reach consistency. Understanding the
underlying network topology of Ethereum is crucial for network
optimization, security and scalability. However, the accurate discovery
of Ethereum network topology is non-trivial due to its deliberately
designed security mechanism. Consequently, existing measuring schemes
cannot accurately infer the Ethereum network topology with a low cost.
To address this challenge, we propose the Distributed Ethereum Network
Analyzer (DEthna) tool, which can accurately and efficiently measure the
Ethereum network topology. In DEthna, a novel parallel measurement
model is proposed that can generate marked transactions to infer link
connections based on the transaction replacement and propagation
mechanism in Ethereum. Moreover, a workload offloading scheme is
designed so that DEthna can be deployed on multiple distributed probing
nodes so as to measure a large-scale Ethereum network at a low cost. We
run DEthna on Goerli (the most popular Ethereum test network) to
evaluate its capability in discovering network topology. The
experimental results demonstrate that DEthna significantly outperforms
the state-of-the-art baselines. Based on DEthna, we further analyze
characteristics of the Ethereum network revealing that there exist more
than 50% low-degree Ethereum nodes that weaken the network robustness.
AB - In Ethereum, the ledger exchanges messages along an underlying
Peer-to-Peer (P2P) network to reach consistency. Understanding the
underlying network topology of Ethereum is crucial for network
optimization, security and scalability. However, the accurate discovery
of Ethereum network topology is non-trivial due to its deliberately
designed security mechanism. Consequently, existing measuring schemes
cannot accurately infer the Ethereum network topology with a low cost.
To address this challenge, we propose the Distributed Ethereum Network
Analyzer (DEthna) tool, which can accurately and efficiently measure the
Ethereum network topology. In DEthna, a novel parallel measurement
model is proposed that can generate marked transactions to infer link
connections based on the transaction replacement and propagation
mechanism in Ethereum. Moreover, a workload offloading scheme is
designed so that DEthna can be deployed on multiple distributed probing
nodes so as to measure a large-scale Ethereum network at a low cost. We
run DEthna on Goerli (the most popular Ethereum test network) to
evaluate its capability in discovering network topology. The
experimental results demonstrate that DEthna significantly outperforms
the state-of-the-art baselines. Based on DEthna, we further analyze
characteristics of the Ethereum network revealing that there exist more
than 50% low-degree Ethereum nodes that weaken the network robustness.
UR - http://www.scopus.com/inward/record.url?scp=85201804525&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/arc/DP210101723
U2 - 10.1109/INFOCOM52122.2024.10621281
DO - 10.1109/INFOCOM52122.2024.10621281
M3 - Conference proceeding contribution
AN - SCOPUS:85201804525
SN - 9798350383515
SP - 1711
EP - 1720
BT - IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
Y2 - 20 May 2024 through 23 May 2024
ER -