LUNA-ProACT - PROtective Analysis for Cyber Threats
LUNA-ProACT is a context-aware machine learning model designed to protect users from online threats, primarily focusing on cybergrooming. It is created to work in association with LUNA, an AI-powered cybergrooming prevention application.
LUNA-ProACT uses natural language processing (NLP) to analyze language use in real-time and detects unusual patterns that could indicate potential online threats. It operates locally on iOS and Android mobile devices using TensorFlow Lite, providing real-time protection without requiring network traffic.
This model results from a collective effort during the TRUE CRIME HACKATHON 2023. Special thanks go to the Polizei Niedersachsen for inspiring the LUNA Cybergrooming Prevention App idea.
Key Features
- Real-Time Analysis: LUNA-ProACT scans text input on the fly, examining for patterns and language use typically associated with cyber threats.
- Context Awareness: Recognizes cultural, geographical, and age-specific contexts for accurate and relevant threat detection.
- Local Processing: Employs TensorFlow Lite to analyze data directly on the user's device, ensuring maximum privacy.
Dependencies
- Python 3.7+
- TensorFlow 2.5.0
- HuggingFace Transformers
Usage
- Installation: Import the LUNA-ProACT model into your Python project.
from transformers import AutoTokenizer, TFAutoModel
tokenizer = AutoTokenizer.from_pretrained("LUNA-ProACT")
model = TFAutoModel.from_pretrained("LUNA-ProACT")
- Inference: Use the model for threat detection.
input_text = "Your text here..."
inputs = tokenizer.encode(input_text, return_tensors='tf')
outputs = model(inputs)[0]
# Outputs return the likelihood of the text being a potential cyber threat.
threat_probability = tf.sigmoid(outputs)
if threat_probability > 0.5:
print("Potential cyber threat detected!")
About Us
LUNA-ProACT has been released by Phichayut 'Florentin' Sakwiset from WE-MAKE.IO, with contributions from Leon Lukaszewski, Lisa Adolf & Klemens Karboswki.
License
LUNA-ProACT is the property of the Polizei Niedersachsen. It is licensed under the GNU Affero General Public License (AGPL) Version 3 and is available for non-commercial use as an open-source project.
Please see the LICENSE (TBA) file for more details.
Contribution
We welcome contributions to help improve LUNA-ProACT. If you have any issues or feature requests, please open a new issue or pull request.
Remember to follow our contribution guidelines to ensure a smooth collaboration process. Thank you for your interest in contributing to LUNA-ProACT.
Contact Us
For any further information or inquiries, please reach us at hey@we-make.io.
💙 Thanks to the Polizei Niedersachsen
We appreciate the platform provided by Polizei Niedersachsen through the TRUE CRIME HACKATHON 2023, which played a crucial role in the inception and development of LUNA-ProACT. Let's work together to make our digital world safer.