About Our System
Learn about the technology, features, and team behind our advanced phishing detection system.
Protecting Digital Assets
Our Network Security Phishing Detection System represents the cutting edge of machine learning-based cybersecurity. Built with modern technologies and best practices, we provide organizations with a robust defense against increasingly sophisticated phishing attacks.
The system leverages advanced machine learning algorithms to analyze multiple security indicators, providing real-time threat detection with exceptional accuracy. Our automated pipeline ensures continuous model improvement and adaptation to emerging threats.
Whether you're a small business or a large enterprise, our system scales to meet your security needs while maintaining the highest standards of performance and reliability.
Technology Stack
Python 3.8+
Core programming language with extensive ML and data science libraries for robust algorithm implementation.
Scikit-learn
Comprehensive machine learning library providing state-of-the-art algorithms for classification and prediction.
FastAPI
High-performance web framework for building APIs with automatic documentation and validation.
MongoDB
NoSQL database for flexible data storage and retrieval with excellent scalability.
MLflow
Machine learning lifecycle platform for experiment tracking and model versioning.
Docker
Containerization platform ensuring consistent deployment across different environments.
Key Features
Automated ML Pipeline
End-to-end machine learning workflow from data ingestion to model deployment with minimal human intervention.
Multi-Algorithm Support
Automatic evaluation of multiple ML algorithms including Random Forest, Decision Trees, and Gradient Boosting.
Real-time Detection
Instant phishing detection with RESTful API endpoints for seamless integration into existing systems.
Cloud-Ready Architecture
Designed for cloud deployment with Docker support and horizontal scaling capabilities.
Experiment Tracking
Comprehensive MLflow integration for tracking experiments, metrics, and model versions.
Configurable Pipeline
YAML-based configuration system for easy customization of training parameters and validation rules.
Meet the Team
Krish Maniyar
Passionate about cybersecurity and machine learning, Krish has developed this comprehensive phishing detection system to help organizations protect their digital assets from evolving threats.
Get in Touch
Have questions or want to learn more about our system? We'd love to hear from you.
GitHub
krishmaniyar
Repository
Phishing-Detection-System