Siva Sai

Future Generation Computer Systems

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms. These approaches are often unable to scale or ad...

A Comprehensive Review of Generative Physical Artificial Intelligence

This article comprehensively analyzes GPAI systems, focusing on their architectural foundations, current applications, and key limitations, and summarizes promising research directions in data-efficient learning, sim-to-real transfer, edge-compatible architectures, and safety frameworks.

LLM-Driven Security and Resilience in 6G Mission-Critical Communication Networks

Working baseline levels of capability are provided with respect to current LLM-based solutions in 6G mission-critical and public safety contexts, and specific research directions to advance LLM-driven cybersecurity toward robust, adaptable, explainable, and life-safety-aware solutions are mapped out.