IoT Security (Hydroficient Simulation) - AI anomaly detector
Developed a real-time security dashboard (Streamlit) to monitor pipeline health, detect anomalies, and visualize system threats. Identified vulnerabilities such as eavesdropping, spoofing, replay attacks, and denial-of-service (DoS). Conducted security testing and attack simulations (including replay attacks), and evaluated TLS performance to identify vulnerabilities and strengthen system defenses. Built and validated an end-to-end IoT security system that simulates real-world infrastructure, detects anomalies, and protects against attacks such as spoofing and replay attacks.
PythonJSONPandasStreamitMachine LearningData Analysisclaudechat GPTGemini