momo1008666 / CBGRULinks
“CBGRU: A Detection method of Smart Contract Vulnerability Based on Hybrid Model”
☆11Updated 3 years ago
Alternatives and similar repositories for CBGRU
Users that are interested in CBGRU are comparing it to the libraries listed below
Sorting:
- DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection (IJCNN 2021)☆24Updated 2 years ago
- ☆42Updated 3 years ago
- Cross-Modality Mutual Learning for Smart Contract Vulnerability Detection☆33Updated 2 years ago
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆55Updated 4 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆32Updated last year
- A python implementation of Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network.基于图神经网络的以太坊智能合约漏洞检测方法…☆24Updated last year
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆28Updated 5 years ago
- ☆19Updated last year
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆116Updated 2 years ago
- ☆22Updated 2 years ago
- This is the dataset for our TSE paper "Defining Smart Contracts Defects on Ethereum"☆17Updated 6 months ago
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆93Updated 2 years ago
- Evaluation Results for the Paper "EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts"☆13Updated 4 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆49Updated 3 years ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆18Updated 6 years ago
- LSTM-based smart contract reentry vulnerability detection.☆10Updated 6 years ago
- ☆26Updated 3 years ago
- Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge A…☆16Updated 2 years ago
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆25Updated last year
- ☆13Updated 2 years ago
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆139Updated 2 years ago
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆178Updated last year
- Dataset containing source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a c…☆22Updated 3 years ago
- Repository of benchmarks to evaluate Solidity Smart contract analysis tools☆69Updated 3 years ago
- DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.☆63Updated 3 months ago
- A project to automatically generate program repair recommendation in the field of smart contracts for given code snippets with their cont…☆15Updated 3 months ago
- ☆14Updated 6 years ago
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆150Updated 2 years ago
- ☆77Updated 6 months ago
- ☆32Updated 2 years ago