QuadraCode AI: Smart Contract Vulnerability Detection with Multimodal Representation
Author:
Affiliation:
1. Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,37132
2. Middle Tennessee State University,Department of Computer Science,Murfreesboro,TN,37132
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10637481/10637507/10637655.pdf?arnumber=10637655
Reference34 articles.
1. Detection of vulnerabilities in smart contracts specifications in ethereum platforms;Argañaraz
2. A Survey of Attacks on Ethereum Smart Contracts (SoK)
3. An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns
4. A next-generation smart contract and decentralized application platform;Buterin;white paper,2014
5. Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
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