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thanhdat317/README.md

Hi there, I'm Thanh Dat

Typing SVG


💫 About Me

I am a security researcher passionate about bridging the gap between Artificial Intelligence (AI) and Cybersecurity. My work focuses on automating vulnerability detection and enhancing threat intelligence using modern deep learning architectures.

🏆 Honors & Awards

  • 🥉 3rd Place - National Student Startup Festival VI (May 2024).
  • 🥉 3rd Place - Student Startup Innovation Contest (Oct 2023).
  • 🏅 5th Place - Shentrepreneur Incubator Program (Oct 2024).

🛠️ Technical

Security & RE AI & Data Science Programming Tools & Cloud













📜 Professional Certifications

  • 🏆 Samsung Pentester (Advanced Security Specialist)
  • 🛡️ Google Cybersecurity Professional Certificate
  • ☁️ AWS Certified Solutions Architect
  • 🤖 Naver AI Certification
  • 🛠️ Google IT Support Professional

🌟 Research Platforms & Languages

  • Data Science: Active on Kaggle and Google Colab for model training and experimentation.
  • Tools: Proficient with Jupyter Notebooks and IDA Pro for reverse engineering.
  • Communication: Bilingual in Vietnamese (Native) and English (Professional).

🔥 Cybersecurity Projects

🤖 1.[VulnAgent: Autonomous Vulnerability Detection]

A sophisticated Multi-Agent framework designed to automate the auditing of complex source code.

  • Architecture: Leverages VulCoBERT and VulCNN models within a multi-agent environment to identify logic flaws and security vulnerabilities.
  • Tech Stack: Python, Deep Learning, Agentic AI.

A high-performance static analysis tool for Windows PE files (.exe, .dll, .sys).

  • Core Engine: Powered by LightGBM models trained on the massive EMBER2024 dataset using thrember and pefile.
  • Key Features: Provides maliciousness probability, integrates with VirusTotal API, and exports actionable OpenIOC reports for threat hunting.

Research paper exploring advanced phishing detection using deep learning.

  • Innovation: Utilized GAN-based data augmentation to enhance model performance and tackle imbalanced datasets in phishing detection.
  • Outcome: Significantly improved detection accuracy through optimized feature selection and synthetic data generation.

📸 4.[SteganoTool: Secure Information Hiding])

A security-focused suite for hiding and extracting data within digital images.

  • Techniques: Implements LSB (Least Significant Bit) and DCT (Discrete Cosine Transform) for covert communication and watermarking.

📫 Connect with me

"Yesterday I was clever, So I wanted to change the world. Today I am wise, So I am changing myself. "

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