S. Banu

Quantum Federated Learning for Privacy-Preserving Anomaly Detection

Multi-Agent Reinforcement Learning System for Autonomous Network Intrusion Response

Cyber threats are becoming so complicated and rampant in today's highly connected digital world that there is a tremendous need for intelligent, adaptive IDS. Detecting and responding against network intrusions in real-time is the aim of the present work, which proposes a real-time Network Intrusion Detection and Autom...

Privacy-Conscious Location-based Service using Federated Analytics and Secure Computation

This project proposes a privacy-preserving framework for location-based services, incorporating federated analytics, secure computation and mobility intelligence for customized next-location prediction and recommendation of points-of-interest. The proposed system is based on the Foursquare NYC check-in data set of user...