Dheeraj Handral

My DDoS Attack Detection System used XGBoost on Kali Linux to detect SYN, UDP, and ICMP floods and DNS amplification. I trained it on 10,000 flow records and achieved 99.85% accuracy and F1-score.

I also built a Scapy-based live detection module that raises alerts within 2–3 seconds, validated using hping3. The system outperformed six other algorithms.

During my Cybersecurity Internship at iGeeks Technologies, I assisted in identifying and documenting security vulnerabilities across network and web assets. I also supported log and traffic analysis to help detect anomalous activity.

My Railway Track Crack Detection and Safety Monitoring System used IoT sensors to detect track cracks, fires, smoke, and obstacles, with real-time alerts. I completed CEH training at Hacker School and am seeking an entry-level Cybersecurity Analyst or SOC role.