GI GIFTS Generative Identity Forensics and Trust System
Research lineage

Publications and research lineage for GIFTS.

This page highlights the two public technical works most central to GIFTS right now: the peer-reviewed GIFTS publication and the earlier Manifold Decoders foundation work.

Featured publication

Generative Identity Forensics and Trust System (GIFTS)

Full title: Generative Identity Forensics and Trust System (GIFTS): Geodesic anomaly detection and manifold diffusion for cloud identity telemetry

Authors: Kingdom Mutala Akugri; Prince Agbenyo; Marious Akugri

This publication presents the GIFTS framework as a deployment-oriented identity-assurance model grounded in anomaly detection, manifold structure, and practical evaluation logic.

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Technical foundation

Manifold Decoders

Full title: Manifold Decoders: A Framework for Generative Modeling from Nonlinear Embeddings

Authors: Riddhish Thakare; Kingdom Mutala Akugri

  • Status: manuscript available on this site
  • Role: earlier technical foundation for later GIFTS development
  • Local file: MD.pdf

This work contributes earlier generative-modeling foundations that inform later GIFTS development.

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How to approach these publications

How to read the two publications on this page

For technical readers

Start with GIFTS if you want the current applied framework. Read Manifold Decoders if you want the earlier generative-modeling work that helped shape the later technical direction.

For general readers

This page keeps the main publication details in one place so visitors can quickly find the titles, authors, venue information, and full-text links.

Current focus

This page focuses on the two publications most directly connected to GIFTS.

More publications can be added later as the public record grows. For now, the focus stays on the two works that best explain the research path behind GIFTS.