BELMA: An Optimized Dual-Layer Approach for Smart Contract Vulnerability Repair via Formal Verification and Machine Learning

Introduction

The security of smart contracts is a paramount concern in the blockchain ecosystem. Traditional methods often rely on either formal verification or machine learning techniques, each with its own set of limitations.

About BELMA

We introduce BELMA, a comprehensive framework that synergistically combines formal verification methods and large language models like GPT-3 for smart contract vulnerability detection and repair.

Formal Verification Methods

BELMA employs formal verification techniques such as model checking and symbolic execution to rigorously identify a wide range of vulnerabilities, including reentrancy, integer overflow, and unauthorized access.

Large Language Models

The BELMA approach employs GPT-3, enhanced with adversarial training for bias and error reduction, to automatically generate precise repair strategies for vulnerabilities in smart contracts across multiple blockchain platforms.

Evaluation

BELMA has been rigorously evaluated across multiple blockchain platforms including Ethereum, Hyperledger Fabric, and EOS. It outperforms baseline methods in key metrics such as accuracy, network load, data privacy, and cost-benefit trade-offs.

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Getting Started

Prerequisites

Before you begin, ensure you have the following installed:

• Python (version 3.7 or higher)
• Git (for cloning the repository)

Installation

1. Clone the Repository

   git clone https://github.com/YourUsername/BELMA-project.git

2. Navigate to the Project Directory

   cd BELMA-project

3. Install Required Python Packages

   pip install -r requirements.txt

4. Install Required Python Packages

   pip install openai

Running BELMA

Please refer to the example_usage.ipynb notebook for a detailed guide on how to use the framework for smart contract vulnerability detection and repair.

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Contributing

We welcome contributions from the research community. For guidelines on contributing, please refer to the Contributing documentation.

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License

MIT License

BELMA is licensed under the MIT License. For the full license text, refer to the LICENSE file in the repository or visit MIT License.

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Contact & Support

For any questions, feedback, or suggestions regarding the BELMA project, please reach out to the project maintainers:

• Rexford Sosu
  • Email: [email protected]
  • GitHub: @rexfordsosu
  • LinkedIn: Rexford's LinkedIn

We appreciate your interest in the BELMA project and look forward to your contributions!