Bennyhinn Bennyhinn007

About Me

const bennyhinn = {
    role: "Cybersecurity Student",
    education: "B.Tech IoT & Cybersecurity including Blockchain Technology",
    university: "GNDEC Bidar | VTU | Batch 2027",
    domain: ["Cybersecurity", "AI Security", "Software Engineering"],
    certifications: ["CEH v13", "COFPS", "CLLMS", "OCI Foundation"],
    currentlyBuilding: ["Defenxia", "RakshaNet", "DPDP Blockchain System"],
    askMeAbout: ["Pentesting", "Adversarial ML", "Blockchain Security", "Cloud Security"],
    openTo: ["Cybersecurity Internships", "SOC Analyst", "Blue Team", "AI Security"],
    funFact: "I break things to understand how to defend them."
};

Cybersecurity student with a passion for offensive security, adversarial AI research, and building secure systems. From attacking ML models with FGSM/PGD to securing digital banking for rural users and building blockchain-based privacy systems — I turn security research into real-world protection. Currently pursuing my B.Tech with a CGPA of 8.8 while stacking industry certifications and shipping security projects.

Tech Stack & Tools

🔤 Languages

🌐 Frameworks & Frontend

☁️ Cloud & Databases

🛡️ Security Arsenal

⚙️ DevOps & Tools

🧠 Cybersecurity Domains

🤖 AI/ML & Blockchain

📚 Core CS

🏆 Certifications

Certified Ethical Hacker
_EC-Council

Certified Offensive & Penetration Testing Specialist
_{HackenFix Academy}

Certified LLM Security Expert
_{Red Team Leaders}

OCI Foundation Associate
_Oracle

Featured Projects

🛡️ Defenxia — Adaptive Cybersecurity for Rural Digital Banking

Tech: React TypeScript Vite Tailwind CSS shadcn/ui Supabase PostgreSQL Edge Functions

An adaptive cybersecurity framework protecting vulnerable rural digital banking users from OTP scams, phishing, fake UPI requests, and social-engineering attacks. Features AI-assisted fraud detection, multilingual guidance, persona-based protection, offline-ready safety features, explainable risk scoring, and emergency response tools.

My Role: Contributed to the cybersecurity framework, fraud-detection workflows, adaptive protection concepts, risk-scoring system, and user-focused security features. Built as part of Team Cyber Samurai at the Advaya 2.0 Hackathon.

🧠 RakshaNet — Adversarial AI Attack & Defence Simulator

Tech: Python PyTorch Streamlit MobileNetV2 CIFAR-10 NumPy

An interactive simulator demonstrating adversarial attacks against image-classification models and evaluating multiple defense mechanisms.

My Role: Implemented FGSM and PGD attacks, Feature Squeezing, Median Filtering, JPEG Compression, and PGD Adversarial Training. Developed the Streamlit-based interface and integrated the complete attack/defense pipeline.

🔗 DPDP-Compliant Blockchain-Based Personal Data Protection & Consent Management System

Tech: React Flask MongoDB Ethereum Smart Contracts Ganache AES Chameleon Hashing Docker

A privacy-focused platform for secure personal-data and consent management using blockchain, encryption, and redactable-blockchain concepts aligned with India's DPDP requirements.

My Role: Worked on backend architecture, frontend, consent-management workflow, blockchain integration, AES-based data protection, and Chameleon Hash simulation layer. Implemented and tested backend services and integrated the major project components.

🚀 What I'm Up To

🔬 Currently Learning:
  - Cloud Security
  - AI Security
  - Software Engineering
  - Data Structures & Algorithms

🔨 Currently Building:
  - Defenxia — Adaptive Cybersecurity for Rural Digital Banking
  - RakshaNet — Adversarial AI Attack & Defence Simulator
  - DPDP-Compliant Blockchain Data Protection System

🌍 Currently Exploring:
  - Adversarial Machine Learning
  - Blockchain Security
  - Digital Forensics
  - Cloud Security
  - Secure Web Applications

💼 Open To:
  - Cybersecurity Internships
  - SOC Analyst
  - Blue Team
  - Cloud Security
  - AI Security

GitHub Analytics

🐍 Contribution Snake

_{⚡ Crafted with passion by Bennyhinn — Cybersecurity Student | AI Security Researcher | Builder}

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