FEDERATED ANOMALY DETECTION: POWERING UP CLOUD SECURITY WITH MACHINE LEARNING

Authors:

Laxmi Sarat Chandra Nunnaguppala, Karthik Kumar Sayyaparaju

Page No: 49-57

Abstract:

In light of this realization of the growth in the usage of cloud-based services, it becomes essential for firms to have protective measures against the possible risks and variations. Thus, this paper aims to comprehend and explore how improving learning methods, mainly through federated learning, can enhance the security of the cloud space.

Description:

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Volume & Issue

Volume-13,ISSUE-6

Keywords

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