Conference Paper

Adaptive Gaussian One-Class Classifier for Detecting Counterfeit Digital Twins

A novel adaptive DT verification system using Gaussian one-class classification (OCC) for fake clone detection.

Generative Digital Twins for Continuous and Reliable IoMT Monitoring in Medical Metaverse Environments

AI-powered Generative DTs to preserve reliable IoMT monitoring through uncertainty-aware modeling.

Leveraging Deep Learning for Unobtrusive User Authentication: A Hybrid Approach

A 3D joint-based deep-learning model for secure, sensor-free gait authentication, resisting impersonation attacks.

Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins

A deep-learning solution and dynamic metadata with NFT-based digital twins for industrial metaverse security.

Security Risk Assessment of Metaverse Based Healthcare Systems Based on Common Vulnerabilities and Exposures (CVE)

The paper examines security concerns and assesses risks in three key components of the Metaverse-based healthcare system.

Comparative Performance Analysis of Machine Learning algorithms for COVID-19 cases in India

A study of multiple regression models with respect COVID-19 spread in India. _(Selected as **Session's Best Paper**)_