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Intrusion Detection System for e-commerce websites
Project Type
Intrusion Detection using Random Forest Classifier
Date
July 2021
Designed a novel method to detect intrusion in e-commerce websites using the decentralized federated learning system.
Concepts: Federated Learning | Machine Learning
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