CELEST: Federated Learning for Globally Coordinated Threat Detection

no code implementations • 23 May 2022 • Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Jack Davidson

In this study, we propose CELEST (CollaborativE LEarning for Scalable Threat detection, a federated machine learning framework for global threat detection over HTTP, which is one of the most commonly used protocols for malware dissemination and communication.

Active Learning Federated Learning