A novel extended multimodal AI framework towards vulnerability detection in smart contracts-Reference-Cited by-同舟云学术

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A novel extended multimodal AI framework towards vulnerability detection in smart contracts

Published:2023-07 Issue: Volume:636 Page:118907
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Jie Wanqing^ORCID,Chen Qi,Wang Jiaqi,Voundi Koe Arthur Sandor,Li Jin,Huang Pengfei,Wu Yaqi,Wang Yin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

1. Smart Contracts: Building Blocks for Digital Markets;Szabo,2018

2. An empirical analysis of smart contracts: platforms, applications, and design patterns;Bartoletti,2017

3. Step by step towards creating a safe smart contract: lessons and insights from a cryptocurrency lab;Delmolino,2016

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2. Smart contracts auditing and multi-classification using machine learning algorithms: an efficient vulnerability detection in ethereum blockchain;Computing;2024-07-03

3. Forward-porting and its limitations in fuzzer evaluation;Information Sciences;2024-03

4. DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts;Automated Software Engineering;2024-03-01

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