Secure AI Watermarking Framework for IP Protection in Multi-Tenant Cloud Platforms
M Anjan Kumar, Kishor Kumar Gajula, Ch Prathima
cs.CR, cs.AI
Submitted: 2026-08-01
Comments: 14 Pages, 14 figures, 4 Tables
Journal ref: 2025,International Journal of Research and Development in Engineering Sciences
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
The gist: The Secured data safe guard transaction with multi-tenant environments run on private-protected authenticate platforms runs by secured handed environments that emerges with the expansion of
Terminology
Abstract
The Secured data safe guard transaction with multi-tenant environments run on private-protected authenticate platforms runs by secured handed environments that emerges with the expansion of cloud-based AI services. To enhanced this secured leakage address challenges solution to protect a secure AI Watermarking system incorporating key distributed between trusted parties based on key authentication as we proposed solution to guided safe guarded way to reactive, and proactive security alert systems using algorithms. This proposed system before attacks can be prevented through the active measures. domain run base restrictions with limited access. Conversely, Proposed system reactive methods to captured on watermarking and biometric identification owner device specific IP leakage that occur during the exchange of data and models in federated and remote learning algorithms.
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