https://github.com/noobpk/gemini-self-protector
Gemini - Runtime Application Self Protection Solution (G-SP)
https://github.com/noobpk/gemini-self-protector
application-protection application-security deep-learning python rasp security-solutions self-protection vulnerability-detection
Last synced: about 1 month ago
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Gemini - Runtime Application Self Protection Solution (G-SP)
- Host: GitHub
- URL: https://github.com/noobpk/gemini-self-protector
- Owner: noobpk
- License: mit
- Created: 2023-01-16T06:55:48.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-12T13:37:28.000Z (6 months ago)
- Last Synced: 2025-04-04T11:36:47.263Z (2 months ago)
- Topics: application-protection, application-security, deep-learning, python, rasp, security-solutions, self-protection, vulnerability-detection
- Language: CSS
- Homepage:
- Size: 4.16 MB
- Stars: 17
- Watchers: 3
- Forks: 4
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# gemini-self-protector
Gemini - The Runtime Application Self Protection (RASP) Solution Combined With Deep Learning
[](https://github.com/noobpk/gemini-self-protector/actions/workflows/codeql.yml)
[](https://github.com/noobpk/gemini-self-protector/actions/workflows/trivy.yml)




## Introduction
Gemini-Self-Protector pioneers the fusion of Runtime Application Self Protection (RASP) and transformative Deep Learning. In today's evolving digital landscape, intelligent and adaptive application security is paramount. Enter Gemini-Self-Protector, ushering in a new era of proactive defense that revolutionizes application safeguarding amid ever-changing threats.
By seamlessly integrating RASP into your application's runtime fabric, Gemini-Self-Protector achieves unparalleled protection. It dynamically monitors and secures various aspects of functionality—database interactions, file operations, and network communications. This symbiosis with Deep Learning empowers Gemini-Self-Protector to adapt and evolve defenses in real-time, staying ahead of emerging threats.
## Gemini Components

👉 G-SP : [gemini-self-protector](https://github.com/noobpk/gemini-self-protector)
👉 G-WVD : [gemini-web-vulnerability-detection](https://github.com/noobpk/gemini-web-vulnerability-detection)
👉 G-BD : [gemini-bigdata](https://github.com/noobpk/gemini-bigdata)
## Gemini Plugin Architecture
The architecture of gemini-self-protector is composed of seven layers however it is optimized so as not to affect the performance on the application.

## Language Support
| Language | Platform/ Framework |
| -------- | ------------------- |
| Python | Flask |## Deep Learning Technology
Gemini uses a deep learning model that combines Convolutional Neural Network (CNN) and a family of Recurrent neural network (RNN) techniques to detect and identify vulnerabilities.
For more details: [G-WVD-DL](https://github.com/noobpk/gemini-web-vulnerability-detection/blob/main/DEEPLEARNING.md)
## More About Gemini-Self-Protector
📜 All about Gemini-Self-Protector is in [here](https://github.com/noobpk/gemini-self-protector/wiki)
## Installation
```
pip install gemini_self_protector
```## Quick Start
⚙️ See detailed installation instructions [here](https://github.com/noobpk/gemini-self-protector/wiki/Quick-Start)## Protect Mode & Sensitive
Gemini supports 3 modes and recommends sensitivity levels for the application to operate at its best state.
| Mode | Sensitive |
| --------- | --------- |
| off | N/A |
| monitor | 70 |
| protector | 50 |## Implement G-WVD Serve
💪 You can implement your own G-WVD serve extremely simply and quickly. Details at [gemini-web-vulnerability-detection (G-WVD)](https://github.com/noobpk/gemini-web-vulnerability-detection)## Demo
[Gemini-Self-Protector | Demo | Install - Configurate - Usage](https://youtu.be/sUJsJE29KcE)
## Screenshot
### New Dashboard Metrix

### Dashboard
### Monitoring

### Configurate
### Access Control List
### Dependency Check

### Endpoint
## Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
## License
`gemini_self_protector` was created by lethanhphuc. It is licensed under the terms of the MIT license.
## Theme
https://appseed.us/product/datta-able/flask/
## Research Publication
`Phuc Le-Thanh, Tuan Le-Anh, and Quan Le-Trung. 2023. Research and Development of a Smart Solution for Runtime Web Application Self-Protection. In Proceedings of the 12th International Symposium on Information and Communication Technology (SOICT '23). Association for Computing Machinery, New York, NY, USA, 304–311. https://doi.org/10.1145/3628797.3628901`