Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking
  • Jagatheesaperumal, Senthil Kumar
  • Ali, Shehzad
  • Alotaibi, Aziz
  • Muhammad, Khan
  • De Albuquerque, Victor Hugo C.
  • 외 1명
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초록

The rapid convergence of generative AI (GAI), neuro-symbolic reasoning, and quantum computing has redefined secure communication and networking. Owing to the massive amount of data, the need for extensive computing power, and the necessity to find and mitigate threats in real time, traditional security measures cannot keep up with changing cyber threats as the communication infrastructure becomes more complicated. Therefore, this paper investigates the potential of a GAI-enhanced neuro-symbolic quantum framework for building security systems that are strong, scalable, and self-sufficient. This method improves threat detection, encryption, and real-time adversarial defense by combining symbolic reasoning for logic, deep learning for pattern recognition, and quantum intelligence to accelerate computations. This work has made progress in creating the next generation of secure networks that can automatically and adaptively make security decisions in real-time, providing robust protection in communication environments that change over time. © 1986-2012 IEEE.

키워드

Generative AIIntelligent networksMulti-agentsNeuro-symbolicQuantum AISecure communications
제목
Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking
저자
Jagatheesaperumal, Senthil KumarAli, ShehzadAlotaibi, AzizMuhammad, KhanDe Albuquerque, Victor Hugo C.Guizani, Mohsen
DOI
10.1109/MNET.2025.3579680
발행일
2025-09
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