Defensive Security | Linux, Log Analysis & SIEM Fundamentals | AI & DS Student
I’m a B.Tech student specializing in AI and Data Science, currently building a focused path into Defensive Security.
My work centers on understanding system and application behavior through Linux usage, log analysis, and SOC fundamentals. I focus on hands-on labs, clear documentation, and practical investigation-style learning, with a long-term goal of moving into cloud security and security engineering.
A hybrid NIDS using rule-based and machine learning detection to secure networks.
Features: Live traffic & .pcap analysis, anomaly detection (Random Forest, XGBoost, Autoencoders), real-time alerts, and a visualization dashboard.
Tech: Python, Scikit-learn, XGBoost, Pandas, NumPy, Streamlit, Scapy, Pyshark
- Linux fundamentals for security operations
- System and application log analysis
- Understanding SOC workflows and alert triage
- Building small, well-documented defensive labs
