ContractWard: Automated Vulnerability Detection Models for Ethereum Smart Contracts

• Published in: IEEE transactions on network science and engineering Vol. 8; no. 2; pp. 1133 - 1144
• Main Authors: Wang, Wei, Song, Jingjing, Xu, Guangquan, Li, Yidong, Wang, Hao, Su, Chunhua
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Blockchain; Contracts; Cryptography; Feature extraction; Flaw detection; Machine learning; Machine learning algorithms; Security; Smart contracts; Training; vulnerability detection

Smart contracts are decentralized applications running on Blockchain. A very large number of smart contracts has been deployed on Ethereum. Meanwhile, security flaws of contracts have led to huge pecuniary losses and destroyed the ecological stability of contract layer on Blockchain. It is thus an e...