Security researcher focused on vulnerability assessment, exploit reproduction, and ML-driven intrusion detection. I like turning noisy telemetry into reliable, real-time detection.

• Offense-informed defense: reproduce exploits → codify detections → measure impact
• IDS/IPS, network forensics, and security automation with Python/Go
• Shipping practical tools over academic toys

🛡️ Intelligent Intrusion Detection System (IDS)
 
 Code 
 

ML-based, real-time packet capture & protocol analysis (TCP/UDP/HTTP). Benchmarked for latency, throughput, and false positives.
Network Security, ML, Scapy, Real-time

🔎 Automated Vulnerability Assessment Toolkit
 
 Code 
 

Concurrent TCP scanning, banner ID, heuristic vuln detection; emits HTML/JSON reports for triage.
Recon, Automation, Reporting

⌨️ Keylogger (Educational PoC)
 
 Code 
 

Awareness demo used to teach detection & prevention techniques.
Security Awareness, Monitoring

⚓ Smart DSS — Cybersecurity Risk in Ports
 
 Code 
 

Rule-based + ML anomaly scoring for vendor/third-party risk in maritime/port environments.
Risk, Anomaly Detection, Decision Support

…and more 🗂️ explore my projects.

• 🧰 Exploit Repro — turning CVEs into detections & mitigations
• 🔎 Packet Stories — short Wireshark/Scapy deep-dives
• 📓 TTP Notes — ATT&CK techniques with practical detection rules
  _{(Publishing public write-ups soon.)}

• Google Cybersecurity
• EC-Council: Digital Forensics for Pentesters
• FEMA NIMS ICS-100
• Incident Response Planning & Management

• Suricata rule tuning & performance profiling
• Go for high-performance network tooling
• Streamlining DFIR playbooks with automation

📍 Karlskrona, Sweden ✉️ ntvsagar@gmail.com 💼 linkedin.com/in/varshithsagar