CELEST: Federated Learning for Globally Coordinated Threat Detection. (arXiv:2205.11459v2 [cs.CR] UPDATED)

The cyber-threat landscape has evolved tremendously in recent years, with new
threat variants emerging daily, and large-scale coordinated campaigns becoming
more prevalent. 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. CELEST leverages federated
learning in order to collaboratively train a global model across multiple
clients who keep their data locally, thus …

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