SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction

Author:

Zhang Hengyan,Zhang WeizheORCID,Feng YumingORCID,Liu YangORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference51 articles.

1. TPPSUPPLY : A traceable and privacy-preserving blockchain system architecture for the supply chain;Sezer;J Inf Secur Appl,2022

2. A blockchain-based conditional privacy-preserving authentication scheme for edge computing services;Wang;J Inf Secur Appl,2022

3. Survey of security supervision on blockchain from the perspective of technology;Wang;J Inf Secur Appl,2021

4. Ethereum: A next-generation smart contract and decentralized application platform;Buterin,2022

5. The DAO contract. 2022. https://etherscan.io/address/0xbb9bc244d798123fde783fcc1c72d3bb8c189413. (Accessed 27 April 2022).

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1. Smart Contract Vulnerability Detection Based on Deep Learning and Multimodal Decision Fusion;Sensors;2023-08-18

2. Blockchain Based Abstract Syntax Tree to Detect Vulnerability in IOT-Enabled Smart Contract;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

3. An Efficient Smart Gas Detecting System using MQ9 Sensor;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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