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CHAITHANYAHEGDE/README.md

Chaithanya R Hegde

Computer Science Engineering (Cyber Security) • Manipal Institute of Technology


Building intelligent security systems at the intersection of Cybersecurity, Machine Learning, and Network Intelligence.

About

Computer Science Engineering student specializing in Cyber Security with research focus in machine learning for cybersecurity, volatile memory forensics, real-time streaming engines, explainable AI, post-quantum cryptography, and network intelligence.

My work focuses on developing interpretable, reproducible, and deployment-ready machine learning frameworks for advanced threat defense.

Security Engineering Projects

Project Domain Focus
Web Vulnerability Scanner Application Security XSS, SQLi, path traversal, open redirects
DoS Detection System Network Security / SOC Rate anomalies, SYN floods, traffic concentration
File Integrity Monitor Host Security SHA-256 baselines, chained HMAC audit logging
Password Security Auditor Cryptography / Auth Argon2id, bcrypt, entropy, salting defenses

Featured Research & Projects

CIC-MalMem2022-Binary-Malware-Detection (Flagship)

Dual-Paradigm Binary Malware Detection Framework using Batch Machine Learning and CapyMOA Streaming Engine.

  • Dual-Paradigm: Static Batch ML (LightGBM 99.98% Acc) vs CapyMOA Real-Time Streaming (ARF+Replay 99.88% Acc)
  • High-Throughput: Parallel OnlineBagging processing 24,834.7 instances/second
  • Cost Reduction: modAL Active Uncertainty Sampling achieving 99.83% accuracy at 20% budget (80% analyst cost saved)
  • Rigorous Audit: McNemar Statistical Test (p = 0.5127 > 0.05), Brier Score Calibration, SHAP TreeExplainer, LIME Local Surrogates
  • Repository

IDS and Malware Research

Umbrella Cybersecurity Research Collection

  • Multi-dataset Intrusion Detection (UNSW-NB15, CIC-IDS2017)
  • Memory Forensics & Binary Malware Analysis
  • Feature Selection & Hyperparameter Optimization
  • Repository

O-RAN Fronthaul Intelligence Platform

AI-Powered Network Intelligence Platform

  • Real-Time Topology Discovery & Capacity Estimation
  • Telemetry Traffic Analytics & Explainable Network AI
  • FastAPI + React Frontend Architecture
  • Repository

Aegis-PQC

Post-Quantum Cryptography Defense Engine

  • Zero-Allocation C++20 Kyber-768 Implementation
  • Real-Time AI Introspection Guard for Side-Channel Defense
  • Repository

TwinShield

Digital Twin Cyber-Physical Security System

  • ICS/SCADA Anomaly Detection Engine
  • Automated Reconnaissance & Threat Assessment
  • Repository

Technology Stack & Toolkit

Cybersecurity

Programming Languages

Machine Learning & Real-Time AI Engines

Explainable AI & Statistical Learning

Web, Backend & Security Systems

Philosophy

Understanding threats, building intelligence, and securing the future through research and engineering.

Cybersecurity • Machine Learning • Research • Open Source

Pinned Loading

  1. O-RAN-Fronthaul-Intelligence-Platform O-RAN-Fronthaul-Intelligence-Platform Public

    AI-powered O-RAN Fronthaul Intelligence Platform for topology discovery, capacity estimation, traffic analytics, and explainable AI.

    TypeScript 2

  2. dos-detection-system dos-detection-system Public

    Python SOC detection pipeline for identifying rate anomalies and DoS indicators from HTTP and TCP telemetry.

    Python 2

  3. file-integrity-monitor file-integrity-monitor Public

    Defensive File Integrity Monitoring system using SHA-256 baselines and chained HMAC audit logging.

    Python 2

  4. password-security-auditor password-security-auditor Public

    Python security laboratory demonstrating password strength analysis, secure KDFs, salting, and authentication defenses.

    Python 2

  5. web-vulnerability-scanner web-vulnerability-scanner Public

    Scoped Python web security scanner for detecting common OWASP-aligned vulnerabilities in controlled environments.

    Python 2

  6. CIC-MalMem2022-Binary-Malware-Detection CIC-MalMem2022-Binary-Malware-Detection Public

    Dual-Paradigm Binary Malware Detection using Batch Machine Learning and CapyMOA Streaming | SHAP | Active Learning | Concept Drift

    Jupyter Notebook 2