Author

Shakila Basheer

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#federated learning Aug 2026

SAFORI‐IDS: Semantic‐Aware Federated Intrusion Detection for IoT‐Enabled 6G Metaverse Infrastructure

The original SAFORI‐IDS framework uniquely merges semantic context and federated privacy to secure 6G‐enabled Metaverse environments and achieves over 99% accuracy, precision, recall, and F1‐score, significantly outperforming state‐of‐the‐art baselines while maintaining lightweight computational efficiency suitable for...

Shakila Basheer, Ghadah Aldehim, A. Alluhaidan et al. · Transactions on Emerging Tel... · 0 citations

Open access Jul 2026

A unified machine learning framework for intelligent resource allocation toward 6G wireless communications.

A Dual-Stage Multi-Time-Scale Temporal Attention-Based LSTM network (D-MTSTA-LSTM) has been architected, which effectively learns short- and long-term relationships in network trends, thereby precisely predicting optimal communication routes and associated power and spectrum allocation.

Nishu Gupta, Rupali Bhartiya, S. Rathod et al. · Scientific Reports · 0 citations