26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), November 4–9, 2018, Lake Buena Vista, FL, USA

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EClone: Detect Semantic Clones in Ethereum via Symbolic Transaction Sketch
Han Liu, Zhiqiang Yang, Chao Liu, Yu Jiang, Wenqi Zhao, and Jiaguang Sun
(Tsinghua University, China; Peking University, China; Ant Financial, China)
Publisher's Version
Abstract: The Ethereum ecosystem has created a prosperity of smart contract applications in public blockchains, with transparent, traceable and programmable transactions. However, the flexibility that everybody can write and deploy smart contracts on Ethereum causes a large collection of similar contracts, i.e., emph{clones}. In practice, smart contract clones may amplify severe threats like security attacks, resource waste etc. In this paper, we have developed EClone, a semantic clone detector for Ethereum. The key insight of our clone detection is emph{Symbolic Transaction Sketch}, i.e., a set of critical semantic properties generated from symbolic transaction. Sketches of two smart contracts will be normalized into numeric vectors with a same length. Then, the clone detection problem is modeled as a similarity computation process where sketches and other syntactic information are combined. We have applied EClone in identifying semantic clones of deployed Ethereum smart contracts and achieved an accuracy of 93.27%. A demo video of EClone is at


Time stamp: 2020-01-26T20:57:20+01:00