Development Portfolio

Research Projects

Fragment9's active research initiatives focus on developing practical cybersecurity solutions through machine learning applications, privacy-preserving technologies, and innovative defense mechanisms.

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Active Projects

Current research and development initiatives

Project AEGIS

Phase I - Research
A lightweight, machine learning-based anomaly detection system designed for identifying unusual network traffic patterns in resource-constrained environments. AEGIS focuses on real-time threat classification with minimal computational overhead.

Key Features

  • Real-time network traffic analysis
  • Lightweight ML models for edge deployment
  • Adaptive threat classification algorithms
  • Low-latency anomaly detection
  • Resource-optimized architecture
Python TensorFlow Scapy Neural Networks Network Security
GitHub (Coming Soon) Documentation

Project SHADOW

Phase I - Research
A privacy-preserving user behavior analytics system designed to detect insider threats and compromised accounts using machine learning techniques while maintaining user privacy through differential privacy methods.

Key Features

  • Privacy-preserving behavioral analysis
  • Insider threat detection algorithms
  • Differential privacy implementation
  • User activity pattern recognition
  • Zero-knowledge security architecture
Python Cryptography Differential Privacy Behavioral Analytics UEBA
GitHub (Coming Soon) Research Paper
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Future Initiatives

Planned research directions and upcoming projects

Threat Intelligence Platform

Automated threat intelligence aggregation and analysis system using natural language processing to process security feeds and generate actionable insights.

ML-Powered Firewall

Next-generation firewall with integrated machine learning capabilities for dynamic rule generation and advanced persistent threat detection.

Secure Communication Suite

End-to-end encrypted communication platform with advanced security features, designed for privacy-conscious organizations and individuals.

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Open Source Contributions

Community tools and resources

Security Analysis Tools

Collection of lightweight security analysis and penetration testing tools designed for educational purposes and security research.

Research Publications

Academic papers, whitepapers, and technical documentation from Fragment9's research initiatives, available for the cybersecurity community.

Datasets & Models

Curated cybersecurity datasets and pre-trained machine learning models for threat detection and security research applications.