eltontay / Ethereum-Fraud-Detection
Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning
☆23Updated last year
Related projects: ⓘ
- Dynamit: Dynamic Vulnerability Detection of Ethereum Smart Contracts Using Machine Learning☆23Updated 10 months ago
- MSc Project☆32Updated 5 years ago
- Datasets used in the paper "Labeled Transactions-based Dataset of Ethereum Network"☆8Updated last week
- 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…☆23Updated last year
- Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)☆119Updated last year
- Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accept…☆78Updated last year
- Extracting and Exploring Blockchain Data from Ethereum☆44Updated last month
- SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning☆55Updated last year
- ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models☆48Updated 3 years ago
- A toolkit for blockchain data collection☆108Updated 3 weeks ago
- Smart Contract Vulnerability Detection Based on Deep Learning. (LSTM, BLSTM, BLSTM+Attention)☆24Updated 5 years ago
- MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabili…☆29Updated 9 months ago
- Profiling and Deanonymizing Ethereum Users☆68Updated 2 years ago
- Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)☆99Updated last year
- [BlockSys 2022] Exploring deep learning techniques for Ethereum smart contract vulnerability detection.☆50Updated last year
- Attacker Contract Identifier Through Static Dataflow Analysis☆17Updated 3 months ago
- This is a crawler with a tool of Jsoup. Furthermore. Moreover, there is a python version.☆17Updated 5 years ago
- ☆58Updated 6 years ago
- This repository contains the RAW results of the vulnerability analysis of 9 tools on 47,587 smart contracts. These results are presented …☆63Updated 4 years ago
- Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection (TSE Accepted)☆21Updated 2 years ago
- Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.☆49Updated last year
- Smart contract vulnerability detection using graph neural network (DR-GCN).☆139Updated last year
- Extracting graph data from smart contract source code☆9Updated last year
- Datasets for evaluating smart contract security analysis tools ( continuously updating... )☆128Updated last year
- A Decentralized Blockchain-Based Federated Learning Framework☆59Updated last year
- implementation of A decentralized blockchain-based authentication system for IoT☆6Updated 4 years ago
- A Sequence Learning Approach to Detecting Vulnerabilities☆46Updated 2 years ago
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆68Updated 9 months ago
- A unified smart contract standard data set.☆39Updated 3 years ago
- LSTM-based smart contract reentry vulnerability detection.☆10Updated 5 years ago