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laasyapriya2007/README.md

Hi, I'm Laasya Priya Bhadri 👋

Computer Science (Cyber Security) Student | AI/ML | Cybersecurity | Research

I am a third-year Computer Science (Cyber Security) student at Amrita Vishwa Vidyapeetham, interested in building secure and intelligent systems at the intersection of Artificial Intelligence, Cybersecurity, and Computer Systems.

  • 🎓 B.Tech Computer Science (Cyber Security), Amrita Vishwa Vidyapeetham
  • 📊 Current CGPA: 9.21
  • 🔐 Interested in Cybersecurity, Intrusion Detection, Network Security, and Privacy
  • 🤖 Exploring AI/ML for cybersecurity and real-world intelligent systems
  • 🔬 Interested in research involving AI, security, privacy, and distributed systems
  • 💻 Currently working on an AI-driven Intrusion Detection System
  • 📚 Working on research involving Federated Learning, Post-Quantum Cryptography, Fog Computing, and Moving Target Defense

🛠️ Technical Skills

Programming Languages

Python · C · C++ · Java · JavaScript

AI / Machine Learning

Machine Learning · Deep Learning · TensorFlow · PyTorch · Scikit-learn · NumPy · Pandas · SHAP

Cybersecurity

Intrusion Detection · Network Security · Security Analytics · Explainable AI · Privacy-Preserving ML · Post-Quantum Cryptography

Web Development

JavaScript · React.js · HTML · CSS

Tools & Technologies

Git · GitHub · Linux · WSL · MATLAB


🔬 Selected Research & Projects

🔐 AI-Driven Intrusion Detection System

Contributing to the AI/ML component of an intrusion detection system, focusing on intelligent detection and analysis of network attacks.

Focus: Machine Learning · Network Security · Explainable AI

Project work is private and cannot be publicly disclosed.

🏥 Post-Quantum Secure Healthcare Fog Framework

Research on a privacy-preserving IoMT architecture combining real-time medical emergency detection, Federated Learning, Differential Privacy, Secure Aggregation, and Post-Quantum Cryptography.

Status: Research paper submitted

🌐 Subdomain Moving Target Defense

Research proposing a cryptographically generated dynamic subdomain mechanism to reduce the effectiveness of automated web reconnaissance.

Status: Research paper submitted


🎯 Current Focus

  • Artificial Intelligence & Machine Learning
  • Cybersecurity & Intrusion Detection
  • Privacy-Preserving Machine Learning
  • Federated Learning
  • Network Security
  • Secure Distributed Systems
  • Research & Experimental Systems

📫 Connect With Me


Popular repositories Loading

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  5. SHAP-Approximation-network SHAP-Approximation-network Public

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  6. shap shap Public

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    A game theoretic approach to explain the output of any machine learning model.

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