Thesis topic:

AI-driven anomaly detection in sensor streams for Smart Infrastructures

• Supervisor: Olumba Chima Anya and Mubashar Iqbal
  • contact: olumbach@ut.ee
• Real-time monitoring of Smart Infrastructure (e.g., Smart Grids, Intelligent Transport Systems) is critical for detecting malicious attacks such as replay, spoofing, or false data injection. This thesis will design and evaluate machine learning models for anomaly detection in sensor streams. The performance of the models will be evaluated on detection accuracy, false positives, and computational overhead.

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