██████╗ █████╗ ██╗ ██╗███████╗██╗ ██╗ ██╔══██╗██╔══██╗██║ ██╔╝██╔════╝██║ ██║ ██║ ██║███████║█████╔╝ ███████╗███████║ ██║ ██║██╔══██║██╔═██╗ ╚════██║██╔══██║ ██████╔╝██║ ██║██║ ██╗███████║██║ ██║ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝initializing quantum vehicular security layer... syncing cryptographic modules... establishing V2X secure channel... scanning attack surface... system status: ACTIVE ⚡
Name: Daksh Bhagwani
Role: Cybersecurity Researcher
Specialization:
- Post-Quantum Cryptography
- Automotive Security (V2X, ECU)
- Offensive Security
- Threat Intelligence
Mode: Research + Exploitation 🚀- 🔐 Post-Quantum Cryptography (PQC, QKD, BB84, B92)
- 🚗 Automotive Cybersecurity (Secure V2X, ECU security)
- 🕵️ Web Exploitation & Bug Bounty
- 📊 SIEM & Threat Intelligence Systems
- 🤖 AI-driven Security (VLM Research)
- Designing quantum-resistant cryptography for vehicular systems
- Simulating BB84 & B92 QKD protocols
- Studying future threats of quantum computing on automotive infra
- Built AI system for crime detection via surveillance feeds
- Combined vision + NLP
- Improved threat detection accuracy (~80%)
- Found: IDOR, Stored XSS, Auth Bypass
- Performed full VAPT operations
- Delivered real-world PoCs
[SCAN] Initializing V2X network scan...
[INFO] Checking cryptographic primitives...
[WARN] Weak RSA implementation detected
[ALERT] Potential downgrade attack vector
[PATCH] Suggest PQC migration (Kyber / Dilithium)
[STATUS] Monitoring...
Languages: Python | C | C++ | Java | Bash | JavaScript
Security: Burp Suite | Nmap | Metasploit | SQLmap | Nessus
Network: Wireshark | Tcpdump | Netcat | Snort
SIEM: Splunk | ELK | Wazuh
Intel: Shodan | Maltego | theHarvester
| Module | Description |
|---|---|
| 🔥 SIEMplicity | Multi-source threat intelligence engine |
| 🧠 VLM AI | Crime detection model (Vision + NLP) |
| 🛡️ Pentest Ops | Full infra exploitation (AD + Linux + Web) |
| 🔐 PQC AutoSec | Quantum-safe automotive communication |
“Systems designed for today fail tomorrow. Quantum-aware systems survive.”
- GitHub: https://github.com/Ruffzi069
- LinkedIn: https://linkedin.com/in/daksh-bhagwani/
