S. Vengurlekar

FedShield: A Privacy-Preserving Federated Learning Framework for Behavioral Detection and Mitigation of Zero-Day Attacks

Zero-day is a type of attack that targets vulnerabilities unknown to vendors and security experts. Traditional signature-based intrusion detection systems fail to flag such attacks. ML models used to detect attacks require data aggregation, which raises substantial privacy concerns and infringes on an organization’s da...